GPU Power Analysis Engineer
$161,800 - $242,600 USD yearly
Originally posted 11 May 2026 by the employer.
About the role
As a GPU Power Analysis Engineer at Qualcomm, you architect, design, implement, verify, and optimize the performance and power of GPU cores.
What you'll do
- Architect, design, implement, verify, and optimize the performance and power of GPU cores.
- Build functional model simulations, develop software, and run tests for various graphics workloads to ensure performance and power goals are met.
- Design, program, and run graphics tests under various scenarios and benchmarks to verify functionality, performance, power, and stability.
- Develop driver and compiler software to support GPU products.
- Write detailed technical documentation and feature descriptions for complex GPU projects.
- Collaborate with cross-functional teams, third-party vendors, and external users to guide implementation.
What you'll need
- Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or a related field with 4+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience (or Master's degree with 3+ years, or PhD with 2+ years of relevant experience).
- Experience in software, hardware, or systems engineering relevant to GPU core design, verification, or optimization.
Nice to have
- Master's degree or PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.
- 2 years of relevant GPU experience.
- 1 year of work experience requiring interaction with senior leadership (e.g., Director and above).
- 1 year in a technical leadership role with direct reports.
Skills: GPU architecture, performance optimization, power optimization, functional model simulations, driver and compiler software, graphics tests
This role has been open 200 days — well above the 87-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
506
|
Median days open
87 d
|
Median salary
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Qualcomm | All employers we track in this specialty (506 roles · 77 employers) |
|---|---|---|
| Open roles in this specialty | 104 | 506 |
| Open roles in the wider Software, Firmware & Systems family | 735 | 6250 · 144 employers |
| Median days open | 116 d | 87 d (+29 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: GPU architecture, performance optimization, power optimization, functional model simulations, driver and compiler software, graphics tests
Who's hiring in this category
- Qualcomm (this employer) · 105 open roles · median 116 d
- NVIDIA · 89 open roles · median 58 d
- AMD · 33 open roles · median 107 d
- Micron Technology · 26 open roles · median 59 d
- Mobileye · 20 open roles · median 85 d
- Analog Devices · 18 open roles · median 43 d
How we counted: 506 open AI/ML Hardware Engineering (AI ML Hardware) roles from 77 employers tracked in the SemiconductorJobs index, counted 25 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.