Technical Program Manager – GPU AI
Qualcomm•San Diego, CA
•$171,200 - $256,800•Onsite
About The Position
Qualcomm is seeking a Technical Program Manager to join the Adreno GPU Program Management team and drive execution across GPU AI workstreams. This role will bring structure, visibility, and cross-functional alignment across open-source AI frameworks, model onboarding, workload enablement, benchmark performance/power tracking, and next-generation GPU AI architecture. This role is based in San Diego, CA and requires full-time onsite work (5 days per week).
Requirements
- 10+ years of HW/SW engineering experience, including technical program management or engineering program execution.
- Experience in AI/ML, graphics, or system performance-related HW/SW development environments.
- Familiarity with ASIC/IP development processes and cross-functional execution across hardware and software teams.
- Experience with planning, dependency management, risk tracking, and milestone execution.
- Hands-on experience with Atlassian JIRA and Confluence.
- Strong communication skills for both technical and leadership audiences.
- Bachelor's degree in Engineering, Computer Science, or related field.
- 5+ years of Program Management or related work experience.
Nice To Haves
- PMP and/or Agile certification.
- Experience with AI/ML frameworks or open-source ecosystems such as llama.cpp, TVM/MLC, LiteRT, WebGPU, or IREE.
- Experience with open-source enablement, CI/regression, upstreaming, or framework integration.
- Ability to work effectively in a fast-changing environment with overlapping priorities and distributed teams.
Responsibilities
- Lead program management for GPU AI activities across GPU engineering teams.
- Drive centralized tracking, demand intake, prioritization, and status reporting for GPU AI workstreams and deliverables.
- Maintain clear ownership, milestones, dependencies, and risks across JIRA, Confluence, and related tools.
- Run cross-functional reviews and support leadership updates through concise dashboards and reporting.
- Coordinate execution across framework enablement, workload analysis, kernel optimization, stack integration, and pre-/post-silicon planning.
- Drive process improvements that improve execution efficiency and accountability.
Benefits
- Competitive annual discretionary bonus program
- Opportunity for annual RSU grants
- Highly competitive benefits package
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What This Job Offers
Job Type
Full-time
Career Level
Senior
