Senior System Software Engineer - AV Platform
NVIDIA Corporation · Santa Clara, CA
$184,000–$287,500from the description
Jul 16, 2026
Santa Clara, CA
Jul 21, 2026
What this job asks for AI summary
A senior engineering role focused on building and maintaining the NVIDIA DriveWorks SDK — a software stack for autonomous vehicles. Day-to-day work spans sensor driver development, data recording and playback tooling, vehicle interface abstraction, and GPGPU-accelerated processing in C++ with CUDA. Suits engineers with deep multithreaded systems experience and a background in automotive or embedded sensor integration.
Senior level · 8+ years · Santa Clara, CA · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 4 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.
How this req sits in the market our data
Roughly 820 people in the Santa Clara, CA area plausibly meet what this posting asks for (software developers). range 210–1,050
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $217,796 (middle half $177,469–$231,052). 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 (7)
The degree requirement is BS or MS in a relevant field 'or equivalent experience', so no hard degree gate is set.
MISRA safety standards are mentioned as a working context/adherence requirement in the responsibilities section rather than a named required skill under qualifications — omitted from the skills list as it is a methodology/standard rather than a concrete technology tool.
Sensor types (cameras, LiDAR, radar, ultrasonics, IMU, GPS) are listed as examples under the required 'Experience with sensors' gate; 'sensor integration' captures this requirement. The specific sensor types are context, not separate gates.
CUDA and OpenCL appear only under 'Ways to stand out from the crowd' (the preferred/nice-to-have section), so they are marked preferred despite CUDA also being mentioned in the responsibilities narrative.
Git and CMake appear only under 'Ways to stand out from the crowd' and are marked preferred.
Location is not explicitly stated in the posting; NVIDIA's Autonomous Vehicles Platform team is headquartered in Santa Clara, CA (San Jose–Sunnyvale–Santa Clara CBSA). Remote status is not offered.
The compensation range ($184,000–$287,500/year) is explicitly stated as location-dependent.
Read the full posting
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