Manager, Software Engineering - Production AI Inference
NVIDIA Corporation · Santa Clara, CA
$224,000–$431,250from the description
Jul 1, 2026
Santa Clara, CA
Jul 21, 2026
What this job asks for AI summary
An engineering management role leading the team that ships production LLM inference software as part of NVIDIA's NIM product. Day-to-day work spans model onboarding, serving stack integration, performance profiling, release quality, security readiness, and operational health. Suited to a hands-on manager with a strong technical background in AI inference and a track record of delivering reliable, enterprise-grade software at pace.
Senior level · 10+ years · Santa Clara, CA · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 2 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
Why we read it this way (7)
The compensation range spans two internal levels: Level 3 ($224,000–$356,500) and Level 4 ($272,000–$431,250); the figures above reflect the full combined range. Equity is also offered.
The degree requirement (BS or MS in CS/CE or related field) explicitly accepts 'equivalent experience,' so it is not treated as a hard gate.
The 3+ years of managing software engineering teams is stated as a hard requirement within the 'What we need to see' section and is captured as a skill rather than the overall years minimum, since it is scoped specifically to management experience; the 10+ overall years drives the overall years minimum.
Skills listed under 'Ways to stand out from the crowd' (vLLM/SGLang/TensorRT-LLM/Triton/PyTorch, Kubernetes, CUDA, cuDNN, CUTLASS, NCCL, NVLink, FedRAMP, etc.) are explicitly framed as differentiators, not requirements, and are marked preferred accordingly.
No specific work location is stated in the posting; Santa Clara, CA (NVIDIA HQ) is inferred as the most likely primary location. Remote work is not offered.
The alternative occupation (15-1252 Software Developers) is noted because the JD emphasizes 'hands-on engineering management' and deep technical depth, but the primary day-to-day work is clearly people and program management, making 11-3021 the right primary code.
Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): software engineering management, production software delivery.
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