Senior Software Engineer, AV Planner, Autonomous Vehicles

Nvidia

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$224,000–$356,500 / yr
Employment
Full-time
Posted
48 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $202k
This role $290k
$144k $379k
below market most similar roles pay here above market

This role pays more than 98% of similar roles. Most pay $169,050–$235,750 — the blue band above. At the midpoint, this role pays about $290k versus about $202k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · Senior Software Engineer, AV Planner, Autonomous Vehicles

The Senior Software Engineer, AV Planner joins the autonomous vehicle team to develop and integrate behavior and motion planning algorithms for sophisticated urban driving. This role involves building trajectory planning for L4 robotaxis, including lane changes, merges, and intersections. You will design planning technologies, write software modules from scratch, and implement optimization, sampling, and search-based approaches considering vehicle dynamics, collision avoidance, and road-rule compliance. Key responsibilities include defining fallback behaviors, integrating planning with perception and controls, and building simulation benchmarks. Required skills include C/C++ for production-quality code, Python for tooling, and knowledge of motion planning, geometry, and real-time systems. The work focuses on solving complex problems in L4 autonomy, safety-critical systems, and dense urban navigation to ensure safe and comfortable vehicle operations.

What you'll do

  • Develop and ship behavior and trajectory planning for L4 robotaxis including lane changes, merges, and intersections.
  • Write new software modules from scratch to drive vehicles safely and comfortably in dense urban environments.
  • Build optimization, sampling, and search-based planning approaches that incorporate vehicle dynamics and road-rule compliance.
  • Define and implement fallback behaviors and minimal risk maneuvers for safety-oriented design.
  • Integrate planning with prediction, perception, and controls while defining clean interfaces and troubleshooting system issues.
  • Build and improve offline and closed-loop simulation benchmarks to measure safety, legality, and progress.
  • Create tools to accelerate debugging, scenario triage, evaluation automation, and parameter management across platforms.
  • Support on-vehicle issue reproduction and resolution across different platforms and vehicle types.

What we're looking for

  • BS, MS, or higher degree in Computer Science, Electrical Engineering, Robotics, Mechanical Engineering, or equivalent experience.
  • 12+ years of experience in the relevant field.
  • Strong software engineering skills in C/C++ for production-quality, performance-aware, and testable code.
  • Python experience for tooling and evaluation (preferred).
  • Hands-on background in motion planning, decision-making, optimization, search, sampling-based planning, geometry, vehicle dynamics/kinematics, or real-time systems.
  • Experience building and using simulation and evaluation pipelines, writing unit/integration tests, and preventing regressions via automation.
  • Strong debugging skills across multi-module systems and ability to communicate clearly across functions.
  • Hands-on experience shipping urban/L4 robotaxi planning, interaction-aware planning, or automotive safety concepts (preferred).

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