# GPU Power Analysis Engineer Source: https://realanalystjobs.com/job/gpu-power-analysis-engineer-qualcomm-fd02d5c4 GPU Power Analysis Engineer at Qualcomm, an on-site role based in San Diego, California, USA. Experience level: 5 Years. Pay stated in the posting: $169,500.00 to $254,300.00. Posted on 17 September 2026, read from Qualcomm's own careers page (Eightfold), which RealAnalystJobs re-checks daily and removes the role when it closes. Qualcomm has approved H-1B petitions on USCIS record (employer-wide, not a promise for this role). Updated 15 November 2026. ## Key facts - Company: [Qualcomm](https://realanalystjobs.com/companies/qualcomm) - Location: San Diego, California, USA - Work mode: On-site - Pay stated in the posting: $169,500.00 to $254,300.00 - Posted: Sep 17, 2026 - Employment type: Full time - Experience level: 5 Years - Source: Qualcomm's careers page (Eightfold), re-checked daily Skills: [Python](https://realanalystjobs.com/skills/python) ## Visa sponsorship The posting does not say. Qualcomm had H-1B petitions approved for 1,218 workers in fiscal year 2026 (USCIS). That is history, not a promise for this role. [See the record](https://realanalystjobs.com/companies/qualcomm#h1b-record) ## About this role Company: Qualcomm Technologies, Inc. Job Area: Engineering Group, Engineering Group > GPU ASICS Engineering General Summary: Qualcomm is one of the largest fabless design companies in the world provides hardware, software and related services to nearly every mobile device maker and operator in the global wireless marketplace. The Qualcomm Graphics System Team is responsible for the development of end to end and system on chip (SOC) architectural solutions for next generation of graphics processing units (GPUs) and compute devices. Responsibilities: • In this role, your work will have critical impact in influencing next generation GPUs to be more enhanced/efficient and to maintain competitive edge in Qualcomm Graphics solution. • You will be contributing to performance/power efficiency analysis and modelling at GPU level and system level for the Graphics/AI workloads such as benchmark/games by exploiting different SW/HW/Architectural knobs to find opportunities to improve perf/W. • Work closely with larger modelling team and contribute to establish a scalable methodology for power projections for next generation GPU/SOC sizing. • Be engaged and contribute to competitive perf/power analysis for popular benchmark/games to identify or be able to explain the gaps with reasonable evidence which could lead to next generation architecture/HW/SW enhancement opportunities. • Develop tools for efficient, streamlined and scalable debug/validation tasks. • Participate, contribute in next generation model improvement by providing post-si learning. This role requires understanding of power concepts, system level architecture and micro-architecture details; be able to analyze performance and power from silicon measurements, have understanding of different SOC components (such as CPU, GPU, DDR, path-to-DDR) and a strong programming background. Minimum Skills: Understanding of GPU and/or SOC architecture and common SoC hardware blocks ( Display, CPUs, BUS, etc.) Understanding of power concepts at micro-architecture as well as system architecture level Strong knowledge of python (or any other) programming. Sharp analytical and problem-solving skill Fluency in usage of latest AI tools for coding/debugging to solve system level problem. Minimum of Bachelor degree required Preferred Skills: Masters degree or PhD 3 to 5 years of relevant experience SOC level power analysis as well as product level power analysis Knowledge of graphics APIs Knowledge and experience working of signal processing techniques Experience in competitive performance and power analysis for CPU or GPU centric use cases post-si debugging experience. 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 : $169,500.00 - $254,300.00 The 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 re Description from Qualcomm's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you. ## How to apply Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/gpu-power-analysis-engineer-qualcomm-fd02d5c4) and use Apply now there to reach the employer's application. The listing is re-checked against Qualcomm's careers page daily and removed when it closes. ## Qualcomm 27 open analyst roles on Real Analyst Jobs. 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