Senior Platform AI Engineer
NVIDIA Corporation · Santa Clara, CA
$184,000–$356,500from the description
Jul 13, 2026
Santa Clara, CA
Jul 20, 2026
What this job asks for AI summary
A senior infrastructure role focused on designing and operating an AI-driven efficiency platform that underpins silicon development workflows across multiple engineering teams. Day-to-day work spans defining platform architecture, owning end-to-end production delivery, and setting technical standards for areas such as orchestration, observability, authentication, and scalable storage. The role suits an experienced ML infrastructure engineer comfortable leading cross-team architectural decisions and mentoring senior peers.
Senior level · 8+ years · Remote · 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
Roughly 6,000 people nationally plausibly meet what this posting asks for (software developers). range 1,750–10,700
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
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 (8)
The posting advertises two salary bands: $184,000–$287,500 (Level 4) and $224,000–$356,500 (Level 5). The min/max here span both bands combined.
The compiled-language requirement lists C, C++, Go, Java, or Rust as interchangeable options; C++ is used as the primary name with the others captured as alternatives.
Celery/Sidekiq/Temporal are presented as interchangeable job-queue options alongside Kubernetes Jobs; Celery is used as the primary name.
'ML infrastructure' is treated as a named domain/capability gate (5+ years explicitly required) rather than a generic concept, because the JD states a specific year threshold against it as a distinct requirement.
The alt SOC (15-1244) is noted because the role has a significant infrastructure-operations dimension (production operation, reliability, SLA enforcement), but the dominant signal is building and architecting a platform — shipping software — which points to 15-1252.
EDA toolchains and distributed systems appear only under the 'Ways to stand out' (preferred/nice-to-have) section.
The posting is marked #LI-Hybrid in the original text; the caller has declared this fully remote, so remote=true is set per that instruction.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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