NVIDIA Corporation · Santa Clara, CA

Salary
$184,000–$356,500from the description
Posted
Jul 1, 2026
Location
Santa Clara, CA
Last confirmed open
Jul 21, 2026

What this job asks for AI summary

A senior engineering role focused on multi-sensor fusion and obstacle perception for autonomous driving. The work centers on designing and refining tracking and fusion algorithms that detect dynamic objects — such as vehicles, pedestrians, and road hazards — across multiple sensors and frames, while meeting safety and latency requirements. Suits experienced engineers with a strong background in perception algorithm development and modern C++.

Senior level · 8+ years · Santa Clara, CA · Full-time

Must have (4)
C++perception algorithms · 5+ yrssensor fusion algorithms · 5+ yrsdata association algorithms
Nice to have (7)
autonomous driving or RoboticsCamera sensorsRadar sensorsLidar sensorsultrasonic sensorsmulti-view geometryoccupancy grid tracking

“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 4,100 people in the Santa Clara, CA area plausibly meet what this posting asks for (software developers). range 850–6,200

Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.

What the occupation pays Median $213,110 (middle half $173,650–$226,080). 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 covers two internal levels (Level 4 and Level 5) with distinct salary bands: $184,000–$287,500 for Level 4 and $224,000–$356,500 for Level 5. The pay band fields reflect the full combined range across both levels.

Degree requirement is effectively None: the JD accepts BS/equivalent with 8+ years, MS with 6+ years, or PhD with 4+ years — equivalent experience is explicitly accepted in lieu of a degree at every tier.

Total experience minimum is set to 8 years (the BS/equivalent path), which is the lowest qualifying threshold. The 5+ years of hands-on perception/fusion experience is captured on the relevant skills.

Location is not explicitly stated in the posting; NVIDIA's autonomous driving perception team is headquartered in Santa Clara, CA (CBSA 41940), used as the best-fit metro. Salary language ('based on your location') suggests a US-based, on-site or hybrid role.

The alt SOC (15-2051 Data Scientists) is noted because the role involves algorithm development with strong ML/AI and data-driven components, though the primary day-to-day work is software engineering in C++ for a shipping product.

'Perception algorithms' and 'sensor fusion algorithms' are listed as required skills based on the explicit 5+ years hands-on requirement stated in the 'What We Need To See' section. These are domain capabilities rather than named tools, but they are the core technical gate for this role.

Camera, Radar, Lidar, and ultrasonic sensors appear under 'Ways To Stand Out From The Crowd' (the preferred/nice-to-have section) and are marked accordingly. Multi-view geometry and occupancy grid tracking are explicitly called out as 'a plus, but not required.'

Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): data-driven development.

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