GPU Performance Engineer
$141,300 - $211,900 USD yearly
Originally posted 28 September 2026 by the employer.
About the role
This role involves architecting, designing, implementing, verifying, and optimizing the performance and power of GPU cores.
What you'll do
- Apply GPU knowledge to architect, design, implement, verify, and/or optimize GPU core performance and power.
- Build functional model simulations, develop software, and test graphics for correctness, performance, and power goals.
- Program and run graphics tests using tools and methods to assess functionality, performance, and power, and identify issues.
- Collaborate with internal teams, third-party vendors, and external users to guide implementation and ensure alignment.
- Develop driver and compiler software to support GPU products.
- Write detailed technical documentation and feature descriptions for GPU projects.
What you'll need
- 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.
Nice to have
- Master's degree or PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.
- 2 years of relevant GPU experience.
Skills: GPU, performance optimization, power optimization, driver software, compiler software
This role has been open 1 day — well below the 71-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
501
|
Median days open
71 d
|
Median salary
$225k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Qualcomm | All employers we track in this specialty (501 roles · 76 employers) |
|---|---|---|
| Open roles in this specialty | 104 | 501 |
| Open roles in the wider Software, Firmware & Systems family | 699 | 5943 · 145 employers |
| Median days open | 105 d | 71 d (+34 d vs this employer) |
| Median salary (USD postings) | — | $225k |
Skills observed across this category: GPU, performance optimization, power optimization, driver software, compiler software
Who's hiring in this category
- Qualcomm (this employer) · 106 open roles · median 104 d
- NVIDIA · 81 open roles · median 67 d
- AMD · 42 open roles · median 64 d
- Micron Technology · 29 open roles · median 54 d
- Mobileye · 20 open roles · median 67 d
- Analog Devices · 14 open roles · median 33 d
How we counted: 501 open AI/ML Hardware Engineering (AI ML Hardware) roles from 76 employers tracked in the SemiconductorJobs index, counted 30 Sept 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.