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Company:
Qualcomm Technologies, Inc.Job Area:
Engineering Group, Engineering Group > Machine Learning EngineeringGeneral Summary:
**This is a 5 days a week in the office, at our HQ in San Diego Office**
General Summary
As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drive digital transformation, creating a smarter, connected future for all. As a Qualcomm AI Software Engineer, you will develop and implement cutting-edge machine learning techniques that enable the efficient utilization of state-of-the-art solutions across various technology verticals.
In this position, you will be responsible for integrating the Qualcomm AI SDK into AI benchmark applications across multiple hardware accelerators, including NPU, CPU and GPU, and achieving competitive benchmark scores through targeted performance and accuracy optimizations.
You will have the opportunity to demonstrate your passion for software design and development through your analytical, design, programming, and debugging skills.
Minimum Qualifications:
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.OR
Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Responsibilities
- Integrate the Qualcomm AI SDK into AI benchmarking applications and deploy ML models — including computer vision, language, and generative AI — on Snapdragon hardware accelerators, including NPU, CPU and GPU.
- Design, evaluate, and optimize AI benchmark model’s performance and accuracy
- Collaborate closely with AI SDK, NPU hardware accelerator, CPU scheduling, and power/performance teams to conduct end-to-end performance analysis and implement optimizations that deliver industry-leading benchmark scores.
- Engage with AI benchmarking communities and vendors to discuss and propose enhancements to scoring methodologies and accuracy metrics, as well as to advocate for the inclusion of new, representative models.
- Analyze competitor’s SDKs used in AI benchmark applications to develop strategies that strengthen Qualcomm’s competitive position and benchmark leadership
- Contribute to a culture of technical excellence, knowledge sharing, and continuous improvement within the AI Software team.
- Work independently with minimal supervision; Staff Engineers provide guidance to junior team members and make decisions impacting their area and the broader work group.
Minimum Qualifications (Must Have)
- Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field
- 2+ years (Senior) / 5+ years (Staff) of general software development experience.
- Proficiency in software development using C/C++, Python.
- Strong software development skills, including data structure and algorithm design, object-oriented or other software design paradigms, software debugging, and testing.
- Excellent communication skills (verbal, presentation, and writing).
Preferred Qualifications (Desired)
- Master’s degree in Computer Science, Computer Engineering, or Electrical Engineering
- 1+ years (Senior) / 3+ years (Staff) of experience building embedded software applications.
- Experience with ML application development or any benchmarking app experience like MLPerf, Geekbench AI, Procyon AI, AITutu etc.
- Understanding of Machine learnings and Deep Learning fundamentals and key concepts
- Familiarity with various generative AI model architectures such as LLMs.
- Experience with development on various platforms such as Linux, Android, or Windows.
- Experience with any machine learning framework like TensorFlow, Pytorch, Onnx etc.
- Good understanding about Processor architecture, system design fundamentals. Experience with machine learning accelerators or GPU/DSP development, optimizing algorithms for hardware acceleration cores using OpenCL, DSPs and/or ML specific cores
- Experience in analysis and optimizations of ML KPIs like Performance, Accuracy metric, as well as system KPIs like Processor utilization, Memory, Cache, DDR etc.,
- Experience with SW optimizations for custom SOCs/Accelerators, SIMD, vectorization
- Familiarity with build frameworks like CMake, Make, Gradle Experience using/integrating Qualcomm AI Stack products (e.g. QNN, Genie).
- Well versed in version control tools like git, Gerrit.
- Ability to collaborate across a globally diverse team and manage multiple interests.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits:
$158,400.00 - $237,600.00The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.
Company:
Qualcomm Technologies, Inc.Job Area:
Engineering Group, Engineering Group > Machine Learning EngineeringGeneral Summary:
As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm AI Software Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient utilization of state-of-the-art machine learning solutions over a broad set of technology verticals.
In this position you will be responsible for assisting with the software design and development of the Qualcomm AI Stack within the Qualcomm AI Runtime (QAIRT) SDK, focused on IOT domain. You will contribute to the efficient execution of advanced deep neural networks (DNNs), large language models (LLMs), and other modern AI architectures.
You will have the opportunity to demonstrate your passion for software design and development through your analytical, design, programming, and debugging skills. In this role you will lead feature development, provide guidance to junior team members, and make decisions impacting your direct area and the broader work group. You will collaborate with cross-functional teams to deliver robust, scalable AI software solutions, and contribute to a culture of technical excellence, knowledge sharing, and continuous improvement within the AI Software team.
Minimum Qualifications:
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.OR
Master's degree in Computer Science, Engineering, Information Systems, or related field and 5+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Responsibilities
- As the AI software lead, you will be hands-on and leading the team responsible for ensuring AI SDK support for a variety of IOT product platforms.
- Drive feature development and enhancements needed in the Qualcomm AI Stack SDKs for IOT products.
- You will work closely with the rest of the AI software team and with other teams within Qualcomm involved in supporting IOT platforms.
- Decision-making is significant in nature and affects work beyond the immediate work group. You will provide supervision/guidance to other team members, and you will participate in strategic planning for integrating the Qualcomm AI Stack SDKs into IOT products.
- You will also have to keep up with the fast-paced development happening in industry and academia to continuously enhance our solution from a software engineering as well as a machine learning standpoint.
Minimum Qualifications
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
- 8+ years of industry and general software development experience
- Proficiency in software development using C/C++
- Experience with Linux or Unix based OS systems software development environment
- Strong software development skills (e.g. data structure and algorithm design, object oriented or other software design paradigm knowledge, software debugging and testing, etc.)
- Ability to work independently with no supervision
- Ability to lead a software team and effectively collaborate with cross-functional teams to deliver robust, scalable AI software solutions
- Excellent communication skills (verbal, presentation, written).
- Ability to convey complex and detailed information to multiple audiences and high-level stake holders
- Ability to make decisions and construct plans with incomplete information
Preferred Qualifications
- Master’s Computer Science, Computer Engineering, or Electrical Engineering
- Software development experience with Python
- Experience with Windows software development environment
- Experience building embedded software applications
- Experience debugging complex problems across multiple layers of hardware, OS, compiler, and drivers
- Experience with different Neural Network architectures: DNNs, CNNs, RNNs/LSTMs, GANs, LLMs, etc.
- Experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware.
- Experience using/integrating Qualcomm AI Stack products (e.g. QNN, SNPE, QAIRT)
- Experience with agile software development practices and git based SCM
- Ability to collaborate across a globally diverse team and multiple interests
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits:
$178,400.00 - $267,600.00The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.
Company:
Qualcomm Technologies, Inc.Job Area:
Engineering Group, Engineering Group > Software EngineeringGeneral Summary:
Our CPU software architecture team is driving the CPU software architecture for various industry top products using Qualcomm Custom CPU. This position/s will expose you to Qualcomm’s cutting-edge CPU sub-system feature software architecture, enablement, and Firmware development. Candidate would participate in hardware-software co-design, software architecture, system optimizations and firmware development. Will have opportunity to work on latest ARMv9 architecture features. Contributions will cater to different cutting-edge Qualcomm SoCs used in Premium Tier Mobiles, Laptops, Automotive, Cloud and Server products.
Minimum Qualifications:
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Engineering or related work experience.OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Software Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
• 3+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
Preferred Qualifications:
Master's Degree in Engineering, Information Systems, Computer Science or related field.
6+ yrs of Experience in Embedded system development
Understanding of ARM CPU architecture fundamentals and ARMv8/v9 ISA
Performance Evaluation and Optimization of the applications for ARM architecture based SoCs
Familiarity of typical Open-Source development tools and frameworks
Experience in software or driver development for operating systems like Linux or RTOS (zephyr RTOS)
Good Programming skills using C, C++ or ARM assembly
Strong Analytical and debugging skills
Skills to collaborate with multiple-teams including HW design to define the software architecture
Understanding of RISCV architecture fundamentals is a plus
Principal Duties and Responsibilities:
Applies Software knowledge and experience to design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs.
Analyzes user needs and software requirements to design and customize software for optimal operational efficiency.
Designs and implements software modules for products and systems.
Participates in the design, coding for large features, unit testing, significant debugging fixes, and integration efforts to ensure projects are completed to specifications and schedules.
Performs code reviews and regression tests as well as triages and fixes issues to ensure the quality of code.
Collaborates with others inside project team to accomplish project objectives.
Writes technical documentation for Software projects.
Level of Responsibility:
Works under supervision.
Decision-making may affect work beyond immediate work group.
Requires verbal and written communication skills to convey information. May require basic negotiation, influence, tact, etc.
Tasks do not have defined steps; planning, problem-solving, and prioritization must occur to complete the tasks effectively.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits:
$162,600.00 - $244,000.00The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.
Company:
Qualcomm Technologies, Inc.Job Area:
Engineering Services Group, Engineering Services Group > Program ManagementGeneral Summary:
The successful candidate will own technical program management for the Oryon CPU Engineering team’s development and delivery to key Qualcomm SoCs. This is the team behind the Snapdragon X Series and Snapdragon 8 Elite / Gen 5. Work alongside the smartest minds in the industry to deliver best-in-class, efficient, high-performance CPUs.
Responsibilities
• Plan, drive, and deliver CPU IP development and integration into silicon products across Qualcomm’s roadmap.
• Lead the creation and maintenance of credible and data-driven schedules and project milestones.
• Organize and lead interdepartmental meetings to set project milestones/schedules, plans of records, define project tasks, establish program policies and processes.
• Responsible for IP-SoC relationship & partnership program management.
• Troubleshoot program issues and help to develop alternative program tasks, schedules, milestones, resource plans, processes etc. to resolve program issues and conflicts.
• Determine risks, develop mitigation strategies, and communicate information to internal and external key stakeholders. Must be able to proactively drive and solve problems to solutions.
• Roll up and report regularly to senior management-executives on key development milestones, budget, metrics, risks, and mitigation plans.
• Develop processes to increase the productivity and efficiency of the team.
• Manage teams through design, development, validation, test, manufacturing, deployment, and sustaining activities for hardware products.
• Be an advocate for the program in cross-functional and stakeholder meetings.
Preferred qualifications
• MS or PhD degree in Engineering
• Experience as an engineer in chip development and integration into hardware or software systems. Experience with silicon development methodologies, leading tape-outs and silicon validation.
• A successful candidate requires a strong IP core (preferably CPU) design & debug background including Project Management of IP team working on multiple programs.
• Technical domain expertise in all aspects of VLSI development cycle and IP delivery process.
• You will help coordinate and support methodology deployment and play a key role in planning future IP validation and development initiatives.
• Ability to drive teams towards long-term challenging goals and intermediate milestones, as well as navigating teams through short-term, highly visible priorities.
• Track record of successful planning and execution within resource and schedule constraints.
• Knowledgeable on program management tools and processes to increase productivity across engineering teams.
• Proven skills: communication, negotiation, motivation, dealing and resolving difficult and complex situations, thinking on the fly, and drive to meet the business need.
Physical Requirements
• Frequently transports between offices, buildings, and campuses up to ½ mile.
• Frequently transports and installs equipment up to 5 lbs.
• Performs required tasks at various heights (e.g., standing or sitting).
• Monitors and utilizes computers and test equipment for more than 6 hours a day.
• Continuous communication which includes the comprehension of information with colleagues, customers, and vendors both in person and remotely.
Minimum Qualifications:
• Bachelor's degree in Engineering, Computer Science, or related field.• 5+ years of Program Management or related work experience.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits:
$197,000.00 - $295,400.00The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.
Company:
Qualcomm Technologies, Inc.Job Area:
Engineering Group, Engineering Group > GPU ASICS EngineeringGeneral Summary:
This role involves the physical implementation of industry-leading integrated graphics core designs, from RTL to GDS, focusing on highly complex and high-frequency blocks or top-level designs. As a senior individual contributor, the candidate will utilize his/her proficiency in industry-standard tools and advanced technology nodes to enhance the Power, Performance, and Area (PPA) metrics of our continuously evolving GPUs. The objective is to optimize designs to meet stringent PPA targets. The candidate will work closely with RTL design and architecture teams to drive and devise innovative solutions for design optimization. The candidate will also work closely with multidisciplinary teams and tool vendors to develop and improve automation in design flows and methodologies, enhancing efficiency. This position demands a comprehensive understanding of the trade-offs in Power, Performance, and Area (PPA) to make informed decisions that achieve optimal design solutions.
The ideal candidate will have/demonstrate the following:
- Experience in Physical design implementation which includes floor-planning, placement, clock implementation, routing for complex, high frequency designs
- Experience with physical synthesis and implementation tools - Synopsys Fusion Compiler, ICC2 and Cadence Genus/Innovus
- Must have good working knowledge of static timing analysis, reliability and power analysis and PDN network
- Strong understanding of CMOS stdcell and memory circuits and design techniques to push Power, Performance and Area of complex designs
- Ability to think outside the box for innovative solutions to improve power and eliminate performance bottlenecks
- Strong understanding of GPU micro-architecture and collaborate with RTL designers to improve bottlenecks for power and performance
- Proven track record of innovation, with the ability to independently tackle and resolve complex technical challenges
- Solid working knowledge of scripting skills including tcl, perl or python
- Excellent communication skills and collaborating in a team environment is a must
- Proven track record of collaborating with diverse teams to drive and resolve complex technical challenges.
- Clock, power delivery network design, process technology, prior experience in flow and methodology development, block closure leading to successful tape-outs
- Hands on experience with Synthesis, DFT, Place and Route, Timing and Reliability Signoff
- Hands on experience working with very complex designs that push the envelope of Power, Performance and Area
- Hands on experience working with sub-micron technology process nodes eg. 4nm and below is highly advantageous
- Prior experience in flow and methodology development is an advantage
- Demonstrated history of successful innovation with notable accomplishments
- Proficiency in reading and understanding RTL (Verilog/System Verilog)
- Possess excellent debugging and analytical skills, coupled with strong leadership abilities to drive solutions among various teams
- Self-motivated, excellent time management, and strong organizational skills
- Ability to work well in a collaborative environment with multi-disciplined teams
Minimum Skills:
- Bachelor’s degree in Electrical/Computer Engineering
- 17+ years of direct synthesis and physical design work experience
Preferred Skills:
- Master’s degree in Electrical/Computer Engineering
- 15+ years of direct synthesis and physical design implementation work experience
- In depth end to end experience from RTL2GDS, taping out at multiple complex designs in deep sub-micron technology nodes
Minimum Qualifications:
• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 6+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.OR
Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 5+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field and 4+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits:
$195,200.00 - $292,800.00The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.
Company:
Qualcomm Technologies, Inc.Job Area:
Engineering Group, Engineering Group > DSP Architecture and DesignGeneral Summary:
- Processor pipelines
- Out-of-order execution
- Load/store units
- Caches and cache coherence
- Memory hierarchy
- Multi-processor and multi-threaded systems
- RISC-V architecture
Join our Hexagon team—creators of over 20 billion cores—with a proven track record of innovation and flawless execution.
- Master’s degree in Computer Science, Electrical Engineering, or a related field
- 1–12 years of experience in CPU architecture and RTL design
Minimum Qualifications:
• Bachelor's degree in Electrical Engineering, Computer Science, Computer Engineering, or related field and 4+ years of Software Engineering, Electrical Engineering, Systems Engineering, or related work experience.OR
Master's degree in Electrical Engineering, Computer Science, Computer Engineering, or related field and 3+ years of Software Engineering, Electrical Engineering, Systems Engineering, or related work experience.
OR
PhD in Electrical Engineering, Computer Science, Computer Engineering, or related field and 2+ years of Software Engineering, Electrical Engineering, Systems Engineering, or related work experience.
• 2+ years of experience with high-performance microprocessor design.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits:
$154,000.00 - $231,000.00The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.
Company:
Qualcomm Technologies, Inc.Job Area:
Engineering Group, Engineering Group > Machine Learning EngineeringGeneral Summary:
Artificial Intelligence is changing the world for the benefit of human beings and societies. QUALCOMM, as the world's leading mobile computing platform provider, is committed to enable the wide deployment of intelligent solutions on all possible devices – like smart phones, laptops, autonomous vehicles, robotics and IOT devices. Qualcomm is creating building blocks for the intelligent edge.
We are part of Qualcomm AI Research, and we focus on advancing Gen AI Technology for the Edge – including model fine tuning, hardware acceleration, model quantization, edge inference and related fields. Come join us on this exciting journey.
In this particular role, you will work in a dynamic research environment, be part of a multi-disciplinary team of researchers and software engineers who work with cutting edge AI frameworks and tools. You will architect, design, develop, test, and deploy on- and off-device frameworks enabling optimization.
The successful applicant should have a strong theoretical background and proven hands-on experience with enabling on-device AI using modern software engineering best practices.
Must have experience and skills:
- Strong theoretical background in AI and general ML techniques
- Proven hands-on experience evaluating and optimizing Generative AI workflows for accuracy, performance, and other key metrics
- ML Accelerator architecture knowledge & experience with ML Accelerators – GPU/NPU
- Proven hands-on experience building LLM stacks to solve real-world problems
- Strong Python and modern C++ design and implementation skills.
- Strong command of Machine Learning training frameworks (i.e. PyTorch )
- Proven hands-on experience establishing a high-quality software delivery process using industry best-practices (code review, CI/CD, automation, etc.)
- Strong Linux command line skills.
- Strong general analytical and debugging skills.
- Prior experience working in agile environments.
- Prior experience in collaborating with multi-disciplinary teams across time zones.
- Strong team player, communicator, presenter, mentor, and teacher.
Preferred extra experience and skills:
- Hands-on experience developing software for heterogenous platforms with OpenCL.
- Experience developing solutions that target a variety of hardware ( CPU, GPU, NSP …) along with their respective SW development environments.
- Prior experience with model quantization, profiling and running models on edge devices.
- Experience developing SDKs/libraries targeting multiple platforms and operating systems (Android, Linux, Windows)
- Previous experience with Docker and Git.
Preferred qualifications:
- Master's and/or PhD degree in Computer Science, Engineering, Information Systems, or related field and 5+ years of work experience in Software Engineering, Systems Engineering, or related.
Minimum Qualifications:
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.OR
Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits:
$140,800.00 - $211,200.00The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.
Company:
Qualcomm Technologies, Inc.Job Area:
Engineering Group, Engineering Group > GPU ASICS EngineeringGeneral Summary:
As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm GPU Engineer, you may architect, design, implement, verify, and/or optimize the performance and power of GPU cores. Qualcomm Engineers collaborate with cross-functional teams to meet and exceed customer needs.
Minimum Qualifications:
• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.OR
Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 1+ year of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.
Preferred Qualifications:
• Master's degree or PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.
• 2+ years of relevant GPU experience.
Principal Duties and Responsibilities:
• Applies GPU knowledge and experience to architect, design, implement, verify, and/or optimize the performance and power of GPU cores.
• Builds functional model simulations, develops software, and tests for various graphics to verify correctness and ensures performance and power goals are met.
• Programs and runs graphics tests using tools and methods to assess functionality, performance, and power and identify issues.
• Collaborates with teams, third-party vendors, and external users to guide implementation and ensure alignment with needs and goals.
• Develops driver and compiler software to support GPU products.
• Writes detailed technical documentation and feature descriptions for GPU projects to guide users and/or customers to use or implement software.
Level of Responsibility:
• Works under supervision.
• Decision-making may affect work beyond immediate work group.
• Requires verbal and written communication skills to convey information. May require basic negotiation, influence, tact, etc.
• Has a moderate amount of influence over key organizational decisions.
• Tasks require multiple steps which can be performed in various orders; some planning, problem-solving, and prioritization must occur to complete the tasks effectively.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits:
$133,600.00 - $200,400.00The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.
Company:
Qualcomm Technologies, Inc.Job Area:
Engineering Group, Engineering Group > Machine Learning EngineeringGeneral Summary:
About the Role
Qualcomm Robotics is shaping the future of intelligent machines. We are looking for a Robotics AI Engineer to help build next generation Vision Language Action (VLA) models. AI systems that enable robots to understand the world, follow natural language instructions, and perform complex tasks. This role combines cutting edge research with practical deployment on Qualcomm’s advanced robotics platforms.
What You’ll Do
Research the latest trends in robotics AI and multimodal learning to inform Qualcomm’s VLA roadmap.
Design and develop models that connect vision, language, and action for real world robotic applications.
Build and maintain training pipelines, datasets, and evaluation benchmarks for embodied AI.
Optimize and deploy models on Qualcomm’s robotics platforms for realtime, ondevice performance.
Collaborate with crossfunctional teams to integrate AI capabilities into Qualcomm’s Robotics SDK and partner solutions.
Contribute to internal knowledge sharing and, where appropriate, publish findings in top AI and robotics venues.
Minimum Qualifications:
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 8+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.OR
Master's degree in Computer Science, Engineering, Information Systems, or related field and 7+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Preferred Qualifications:
Master’s degree in Computer Science, Robotics, Electrical Engineering, or related field (PhD preferred).
Strong experience in deep learning (transformers, multimodal models) and robotics AI.
Proficiency in Python and frameworks like PyTorch or TensorFlow.
Familiarity with robotics systems, simulation environments, and ROS 2.
Experience with model optimization and deployment on edge or embedded platforms.
Background in vision-language models, policy learning, or robotic foundation models.
Experience with dataset curation, teleoperation data, or simulationtoreal transfer.
Knowledge of model compression techniques (quantization, distillation) for efficient deployment.
Strong communication skills and ability to work in a collaborative, fastpaced environment.
Why Join Us?
Work on cuttingedge robotics AI that bridges research and realworld impact.
Collaborate with worldclass teams building the next generation of intelligent robots.
Access to advanced hardware, simulation tools, and Qualcomm’s AI acceleration technologies.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits:
$221,600.00 - $332,400.00The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.
Company:
Qualcomm Technologies, Inc.Job Area:
Engineering Group, Engineering Group > GPU ASICS EngineeringGeneral Summary:
Qualcomm’s GPU Research Team is seeking innovative GPU architects to advance state-of-the-art capabilities in Artificial Intelligence (AI), Machine Learning (ML), and General-Purpose GPU (GPGPU) computing. This is a unique opportunity to design next-generation GPU architectures that power everything from mobile devices to Windows on Snapdragon (WoS) compute platforms and large-scale data center GPUs.
This team is open to location Boxborough as well.
What You’ll Do
- Collaborate with other GPU architects to design new hardware features and enhance existing GPU architectures for accelerating GPGPU, ML, and AI workloads.
- Develop architectural solutions for diverse platforms, including mobile, WoS, and data center GPUs.
- Work closely with software teams, hardware design teams, standardization bodies, and internal/external partners to deliver cutting-edge solutions.
- Participate in open-source GPGPU/ML/AI projects and contribute to industry-leading initiatives.
- Influence the evolution of GPU capabilities for advanced use cases such as large language models (LLMs) and large vision models(LVMs).
Required Skills:
- Strong understanding of GPU architectures, programming models, and application domains.
- Proficiency with APIs such as OpenCL, CUDA, Vulkan, or Direct3D 12.
- Solid programming skills in C/C++.
- Familiarity with Python is a strong plus.
Preferred Skills:
- Hands-on experience in development, debugging, and optimization of CUDA and OpenCL kernels, as well as GPU compute shaders.
- Deep understanding of quantization techniques and data types for large language models (LLMs) and large vision models (LVMs).
- Experience designing GPU hardware features for ML/AI acceleration.
- Contributions to well-known open-source projects with a proven track record.
- Experience with open-source projects such as llama.cpp, vLLM, or similar frameworks is a big plus.
Minimum Qualifications:
• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 4+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.OR
Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 3+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits:
$161,800.00 - $242,600.00The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.
Company:
Qualcomm Technologies, Inc.Job Area:
Engineering Group, Engineering Group > CPU EngineeringGeneral Summary:
As a Physical Design Clock Engineer, you will work with microarchitecture, RTL design, CAD, block level and top level physical design teams to create best in class clocking solutions for next generation CPUs.
Minimum Skillsets
Experience in all aspects of construction and analysis of low skew and low power clock generation and distribution.
Experience in clock H-tree, mesh, spines and CTS implementations.
Good understanding of device physics, RC delay and electrical aspects.
Proficiency in SPICE simulation and analysis for circuit design and verification.
Preferred qualifications
MS in Electrical Engineering; 8+ years of practical experience.
Skilled in chip physical design, standard cell optimizations, and clock construction.
Defined clock methodology across various designs.
Preferred experience in deep submicron process technology nodes.
Proficient in PLL specifications, clock skew estimation, and jitter measurements.
Strong communication skills for team collaboration and issue resolution.
Roles and Responsibilities
Work with design teams to understand, implement and validate CPU clocking.
Drive overall clock generation and distribution methodology of CPU.
Work with CAD & block level designers to implement the clocking techniques for optimizing skew and power.
Perform jitter analysis and measurements and provide feedback to block level and top level physical design engineers on key fixes required.
This position is open to both locations Austin and Santa Clara. The compensations will be adjusted based on the location.
Minimum Qualifications:
• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field and 4+ years of Hardware Engineering, Software Engineering, Electrical Engineering, Systems Engineering, or related work experience.OR
Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field and 3+ years of Hardware Engineering, Software Engineering, Electrical Engineering, Systems Engineering, or related work experience.
OR
PhD in Electrical Engineering, Computer Engineering, Computer Science, or related field and 2+ years of Hardware Engineering, Software Engineering, Electrical Engineering, Systems Engineering, or related work experience.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits:
$148,300.00 - $222,500.00The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.
Company:
Qualcomm Technologies, Inc.Job Area:
Engineering Group, Engineering Group > Machine Learning EngineeringGeneral Summary:
The Compiler Labs unit in Qualcomm AI Software department is looking for ML Compiler engineers to join our team. We work tactically on improving existing ML compilers and strategically on developing new and innovative ML compilers.
Our technical approach to compilers emphasizes powerful representations for precisely and compactly modeling programs and the optimization challenges and using advanced mathematics and algorithms for performing optimizations.
We are also solid in using “old school” compiler technologies as they apply to contemporary ML challenges, and in meticulous software engineering to produce beautiful compilers. We are also keen about seeing our compilers used and having large impacts on Qualcomm’s business.
Mapping ML algorithms to ML accelerators is currently one of the most interesting and challenging problems for compilers. Our compiler targets include the Qualcomm Neural Signal Processor, Adreno GPUs, low-power ML accelerators, and CPU accelerators.
This job description spans multiple levels, from entry to experienced. Our team is a good home for compiler developers with advanced degrees, and we have solid mentoring and give substantial responsibility quickly for entry level engineers.
Preferred Qualifications:
• Master's degree in Computer Science, Engineering, Electrical Engineering, or related field.
• Experience with compiler development and computer architecture
ML experience
• A degree in the field of computer science or applied mathematics
• Experience with software engineering
• Solid intellectual ability, motivation, and a strong history of achievement
• Excellent oral and written communication skills
• Experience with MLIR, MLIR Dialects (LinAlg, Affine), Pytorch 2.0, TVM, Triton, and/or LLVM
• SYCL experience
• ML applications and ML optimization experience
• ML architecture experience
• High performance computing experience
• Polyhedral compiler optimization experience
• Loop transformation and vectorization experience
• GPU programming, parallel programming experience
• General optimization experience
Principal Duties and Responsibilities:
• Work on a wide range of ML compilers
• Improve ML compiler optimization capabilities through benchmark analysis and profiling
• Innovate new ML compiler and optimization algorithms
• Upstream compiler algorithms to open-source compiler projects
• Author research publications and represent the company in conferences and industry forums
• For senior levels - Lead and manage projects while doing substantial technical work
Minimum Qualifications:
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.OR
Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits:
$160,500.00 - $240,700.00The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.
Company:
Qualcomm Technologies, Inc.Job Area:
Engineering Group, Engineering Group > CPU EngineeringGeneral Summary:
We are seeking an experienced CPU System Architect to join our team. If you possess a deep understanding of CPU system design and have a passion for architecting and designing complex, high performance and low power designs at advanced process nodes, we would be pleased to hear from you. This critical role involves Architecture and microarchitecture of the next-generation CPU system by collaborating with other CPU and SoC architects, Software and Firmware teams to optimize overall Power, Performance, Area (PPA) and thermal efficiency.
The ideal candidate will have extensive knowledge of CPU and SoC architecture across various product segment – datacenter, Mobile, Compute and Auto SoCs, including experience in microarchitecture and design of coherent CPU systems. CPU system architecture involves micro-architecture and deployment of data, control and debug features using interconnects, power management, RAS, and debug and trace blocks. Strong analytical, problem-solving, and communication skills are essential for excelling in this position.
Required for this Role:
- Master’s degree in computer or electrical engineering with 12+ years of experience in CPU RTL or a related field
- Deep knowledge of microprocessor architecture, with expertise in one or more of the following areas:
- CPU system features: interconnect protocols, timer synchronization, interrupt controller, configuration access protocols, RAS and safety mechanisms
- Architecture and performance monitoring, telemetry architecture
- Power management: idle and Active power management strategies, limit management including thermal mitigation and clock architecture
- Debug/trace architecture, scan-dump, and memory dump mechanisms
- Excellent technical documentation skills, along with strong written and verbal communication abilities
- Understanding of various Software and Firmware control loops and building system level solutions.
- Solid understanding of logic design principles, including timing and power implications
Preferred Qualifications
- Bachelor’s or Master’s degree in computer science or electrical engineering
- Familiarity with CPU architecture and ISA
- 12+ years’ experience in CPU/SoC architecture
- Understanding of low-power microarchitecture techniques and understanding of system constraints – over-current, TDP, voltage droop and mitigation
- Developing solutions for performance and power telemetry
- Understanding of Debug, trace and RAS architectures
- Knowledge of high-performance design strategies and trade-offs in CPU microarchitecture
Roles and Responsibilities
- Work with chip architects to understand architecture concept and high-level system requirements
- Take on a leadership role in developing the micro-architecture and design of high-performance CPU system
- Prepare and present clear and comprehensive technical documentation to meet the needs of stakeholders, including engineering teams, senior management and internal partners.
- Develop High-Level Architecture and Micro-Architecture specifications that can translate to RTL design.
- Collaborate with HW, SW and FW architects to develop an optimal end-to-end CPU System architecture
Minimum Qualifications:
• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field and 6+ years of Hardware Engineering, Software Engineering, Electrical Engineering, Systems Engineering, or related work experience.OR
Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field and 5+ years of Hardware Engineering, Software Engineering, Electrical Engineering, Systems Engineering, or related work experience.
OR
PhD in Electrical Engineering, Computer Engineering, Computer Science, or related field and 4+ years of Hardware Engineering, Software Engineering, Electrical Engineering, Systems Engineering, or related work experience.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits:
$198,700.00 - $298,100.00The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.
Company:
Qualcomm Technologies, Inc.Job Area:
Engineering Group, Engineering Group > GPU ASICS EngineeringGeneral Summary:
Architects, designs, implements, verifies, and optimizes performance and power of GPU cores. Responsible for verification of Graphics IP , and performing pre- and post-silicon verification to verify correctness and ensure performance and power goals are met.
The responsibilities of this role include:
- Owning and executing on key independent tasks towards program requirements
- Using verbal and written communication skills to convey basic, routine factual information about day-to-day activities to others who are fully knowledgeable in the subject area.
- Working within prescribed timeline requirements and resource constraints
- Applying independent creative thought to troubleshoot technical problems or deal with novel circumstances.
- Research through available resources and engagement with various inter-disciplinary teams
- Using deductive problem solving to solve moderately complex problems; most problems have defined processes of diagnosis/detection; some limited data analysis may be required.
PRINCIPAL DUTIES AND RESPONSIBILITIES:
- Applies Graphics knowledge and experience to architect, design, implement, and verify the structure and performance of GPU hardware, drivers, features, applications, and tools.
- Creates and maintains verification test benches and environments in System Verilog/UVM
- Create and leverage advanced testing frameworks to generate and recreate real-world system integration conditions
- Collaborates with Architecture, Software , Firmware, Design , Modeling, Emulation and Post-silicon validation teams to define and develop test methodology and content
- Participate in GPU architecture, micro-architecture reviews
- Collect, organize and execute various forms of system level test content including directed testcases, gaming benchmarks, standards compliance testsuites, and system level scenarios
- Build automation for continue integration and testing based on latest GPU IP
- Help collect and analyze test results using straightforward statistics and data predictions to track benchmarks and identify issues
- Works with team members to understand and align on narrow scope of feature development and meet targets.
- Write technical documentation and feature descriptions for straightforward projects under the direction of a supervisor.
Minimum Qualifications:
• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 4+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.OR
Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 3+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
PREFERRED QUALIFICATIONS:
- 5+ years Hardware Engineering, Software Engineering, Systems Engineering, or related work experience
- Verification skills: Test planning, Scripting, Simulation, problem solving and debug.
- System Verilog, UVM, Verilog or VHDL, C/C++ skills required.
- Constrained random, Functional Coverage development, design debug experience required.
- Exposure to Emulation/Prototyping Platforms (Veloce, Palladium, Zebu, FPGA)
- Master's Degree in Electrical or Computer Engineering, Computer Science, or related field.
- 2+ years relevant GPU experience (either external or internal).
PREFERRED SKILLS
- Experience in GPU based verification
- Experience in system or sub-system level verification
- Concurrency, Preemption, Stress testing frameworks
- Testbench Architecture and Implementation
- GFX API Exposure : Vulkan/DX11/DX12 Exposure
- Scripting and automation skills (Python, Make, Airflow etc)
- Embedded FW Development and Debugging
- Benchmarking and Performance Analysis
- Windows and/or Linux OS Kernel Architecture
- C/C++, GNU Toolchain, Visual Studio
- Formal verification - FPV and DPV experience is a plus
- Experience with emulation/prototyping/hybrid build and execution flows (Veloce, Palladium, Zebu, Protium, HAPS, qemu)
- Development of synthesizable transactors, monitors, scoreboards for emulation platforms
- Embedded FW and/or Kernel level development and debugging skills (C/C++, Makefile, gdb, uboot, uefi, kernel-mode drivers)
This role is available in multiple locations at different levels.
The compensation range will be determined upon the offer location and title.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits:
$161,800.00 - $242,600.00The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.
Company:
Qualcomm Technologies, Inc.Job Area:
Engineering Group, Engineering Group > Machine Learning ResearcherGeneral Summary:
Qualcomm AI Research is looking for world-class researchers in artificial intelligence to join our team. Members of our global team form a multi-disciplinary core research group within Qualcomm which spans software, hardware, and systems, and we contribute technology deployed worldwide by partnering with our business teams across mobile, compute, automotive, cloud, and IOT. We also perform and publish state-of-the-art research on a wide range of topics in artificial intelligence, ranging from general theory to techniques that enable deployment on resource-constrained devices. We are dedicated to pushing the boundaries of AI across Generative AI, LLM and Multi-Modal Foundation Models, Reasoning, Reinforcement Learning, Agentic AI, and Autonomy, with a strong emphasis on efficient on-device intelligence. Please see our AI focus page at https://qualcomm.com/ai for more details.
Summary:
Ideal candidates will have a strong publication record in top-tier AI/ML conferences and deep expertise in generative AI, including Multi-Modal Foundation Models, Efficient Architectures, LLM Reasoning, Reinforcement Learning, Agentic AI, and Autonomy. You will lead and contribute to high-impact research initiatives, collaborate with global teams, and help transition cutting-edge models into real-world applications.
Key Responsibilities:
- Conduct cutting-edge research in efficient generative AI: LLMs and Multi-Modal Foundation Models, LLM Reasoning, Reinforcement Learning, Agentic AI and others.
- Lead efforts in transitioning research into production-ready solutions, enabling real-world applications and commercial impact.
- Develop creative solutions with consideration of practical challenges on devices
- Implementation and evaluation of possible solutions in both simulation and on-device environments
- Contribute to Qualcomm’s strategic initiatives in efficient AI and embedded intelligence.
- Publish in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ACL, EMNLP).
Required Qualifications:
- Proven research excellence demonstrated by publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ACL, EMNLP).
- Deep expertise in Generative AI, Multi-Modal Foundation models, Vision Language Models, Reasoning, Reinforcement Learning, and Agentic AI.
- Hands-on experience with model development pipelines, including training, fine-tuning, evaluation, and optimization.
Preferred Qualifications:
- PhD in Computer Science, Electrical Engineering, or related fields or MS with 4+ years of AI research, or related work experience
- Research Experience in developing vision language models for understanding and generation.
- Understanding of efficient architectures suitable for on-edge deployment, experience in on-device AI deployment on mobile or edge devices
- Familiar with model optimization techniques such as pruning, quantization and distillation.
Why Join Us:
- Globally recognized AI research organization.
- Impactful projects with real-world deployment.
- Collaborate with top researchers across Qualcomm’s global network.
- Thrive in an inclusive, innovation-driven environment.
Minimum Qualifications:
• Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.OR
PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.
• 6+ months of experience developing and/or optimizing machine learning models, systems, platforms, or methods.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits:
$159,100.00 - $238,700.00The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.