Senior Deep Learning Systems Architect
NVIDIA Corporation · Santa Clara, CA
$224,000–$356,500from the description
Jul 14, 2026
Santa Clara, CA
Jul 21, 2026
What this job asks for AI summary
A senior architecture role focused on designing hardware accelerators and processor architectures for AI and deep learning workloads across mobile, embedded, and datacenter platforms. Day-to-day work involves analyzing DL techniques, identifying hardware bottlenecks, co-designing next-generation GPU systems from specification through prototyping, and collaborating with researchers, hardware architects, and software engineers. Best suited to someone with deep expertise in both deep learning fundamentals and computer architecture.
Senior level · 10+ years · National · Master'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 role is a hybrid of hardware architecture and software/ML systems work — it sits between 15-1252 (Software Developers, given the prototyping, benchmarking, and framework development duties) and 15-2051 (Data Scientists, given the deep learning research and DNN training focus). 15-1252 was chosen as primary because the day-to-day work centers on co-designing systems, implementing prototypes, and developing code for DNN frameworks.
Degree requirement: the JD states MS (or equivalent experience) or PhD, with equivalent experience explicitly accepted as a substitute for the advanced degree. However, the 'or equivalent experience' qualifier applies to the degree itself, so the degree requirement is set to Masters as the stated minimum formal credential — candidates without a degree but with equivalent experience are also accepted per the posting.
Python is listed as 'ideally' preferred alongside the firm C++ requirement, so it is marked preferred.
GPU computing (CUDA, OpenCL, OpenACC) and HPC (MPI, OpenMP) are explicitly called 'a huge plus,' placing them in the preferred category.
No specific work location is stated in the posting; the CBSA/state fields are left blank. The role is US-based based on USD compensation and NVIDIA's US headquarters context.
The application window extends at least until July 19, 2026, per the posting.
Read the full posting
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