Staff GPU AI Engineer at Qualcomm
San Diego, CA
$141,600–$212,400from the description
Jul 12, 2026
San Diego, CA
Jul 21, 2026
What this job asks for AI summary
A graphics software engineering role focused on compiler work for machine learning workloads running on GPU hardware. Day-to-day responsibilities center on applying graph optimization techniques to ML frameworks, writing and reviewing code for ML graph compilers and runtimes, and producing design documentation. The role suits engineers with a solid compiler background — particularly around LLVM or MLIR — and familiarity with GPGPU programming APIs.
Senior level · 4+ years · National · Bachelor's required · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Rare in this occupation — lead with these, and say what you built with them.
What the occupation pays Median $138,970 (middle half $107,524–$175,762). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (6)
The posting has no explicit location — Qualcomm's primary US engineering hub is San Diego, CA, but the CBSA could not be confirmed from the text alone.
The 'Ideal Candidate Will Have' section lists C++, LLVM, and a GPGPU API (SYCL/CUDA/OpenCL) as strong/familiar requirements. Although framed as 'ideal', these are reinforced by the Minimum Qualifications gate on 1+ year of a graphics-suitable programming language (C/C++) and the overall role scope, so they are treated as hard gates.
The overall years minimum is set to 4, reflecting the lowest qualifying path (Bachelor's + 4 years). The 'Ideal Candidate' section mentions 6+ years industry experience, but this sits outside the formal Minimum Qualifications block and is framed as aspirational.
GPU architecture optimization, MLIR, and ML graph compiler experience are listed under 'Preferred Skills' and are treated accordingly.
The pay range ($141,600–$212,400/year) is stated as a broad minimum-to-maximum scale for the posted location; actual compensation includes bonus and RSU components.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): GPU architecture.
Read the full posting
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