$195,200 - $292,800 USD yearly
Originally posted 27 May 2026 by the employer.
About the role
As a GPU HLM 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 to verify correctness and meet performance and power goals. - Design, program, and run complex graphics tests using tools for large subsystems to evaluate functionality, performance, power, and stability. - Develop critical driver and compiler software to support GPU products. - Facilitate collaboration with third-party vendors, external users, and cross-functional teams to guide implementation. - Author detailed technical documentation and feature descriptions for complex GPU projects, and review documentation prepared by junior engineers.
What you'll need
- Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or a related field with 6+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related experience; OR Master's degree with 5+ years of experience; OR PhD with 4+ years of experience. - Experience architecting, designing, implementing, verifying, or optimizing GPU cores. - Experience developing functional model simulations and software tests for graphics subsystems.
Nice to have
- Master's degree or PhD in Computer Engineering, Computer Science, Electrical Engineering, or a related field. - 2 years of relevant GPU experience. - 2 years of work experience in a role requiring interaction with senior leadership (e.g., Director and above). - 1 year in a technical leadership role with direct reports.
Skills: GPU, performance optimization, power optimization, functional model simulations, graphics tests
This role has been open 149 days — well above the 86-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
507
|
Median days open
86 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 (507 roles · 76 employers) |
|---|---|---|
| Open roles in this specialty | 105 | 507 |
| Open roles in the wider Software, Firmware & Systems family | 739 | 6277 · 144 employers |
| Median days open | 115 d | 86 d (+29 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: GPU, performance optimization, power optimization, functional model simulations, graphics tests
Who's hiring in this category
- Qualcomm (this employer) · 105 open roles · median 115 d
- NVIDIA · 89 open roles · median 57 d
- AMD · 34 open roles · median 107 d
- Micron Technology · 26 open roles · median 58 d
- Mobileye · 20 open roles · median 84 d
- Analog Devices · 18 open roles · median 42 d
How we counted: 507 open AI/ML Hardware Engineering (AI ML Hardware) roles from 76 employers tracked in the SemiconductorJobs index, counted 24 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.