$195,200 - $292,800 USD yearly
Originally posted 14 January 2026 by the employer.
Drive technical execution and architecture for Adreno GPU cores across Snapdragon mobile, compute, and XR platforms.
About the role
The Project Engineer serves as the overall technical lead for Adreno GPU core development across architecture, development, and productization phases. The position guides engineering execution across system architecture, modeling, hardware design, verification, silicon implementation, and product launch into Snapdragon application processors.
What you'll do
- Partner with engineering teams inside and outside GPU hardware on the definition, execution, and delivery of GPU cores to products. - Act as the technical liaison between GPU hardware engineering and Product Managers, translating product requirements and KPIs into technical priorities. - Drive technical problem-solving sessions, system high-level design reviews, and engineering risk analyses across worldwide teams. - Lead industry practices for ASIC engineering across architecture, microarchitecture, RTL, verification, and physical design flows. - Represent the GPU engineering team in SoC forums, upper management reviews, and customer technical engagements. - Resolve technical tradeoffs and issues across functional domains spanning software, hardware, and silicon implementation.
What you'll need
- Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field with 8+ years of hardware, software, or systems engineering experience (or Master's with 7+ years, or PhD with 6+ years). - Experience leading technical discussions across software, hardware, system, and productization domains. - Demonstrated technical ownership spanning ASIC design, verification, silicon implementation, or system architecture.
Nice to have
- 15 years combined hardware, software, or system engineering work experience. - 5 years of graphics hardware (GPU) work experience or equivalent applicable knowledge. - 2 years of experience as a Project Engineer or System Architect for projects with >50 contributors. - Direct experience across ASIC design flows (architecture, uArch, RTL, modeling, verification, synthesis, physical design) in advanced technology nodes. - Proven experience translating business goals into technical requirements and product architectures.
Skills: GPU hardware, system architecture, hardware design, silicon implementation, verification, product launch
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 hardware, system architecture, hardware design, silicon implementation, verification, product launch
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.