Senior Systems Engineer, Autonomous Driving

Nvidia

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Santa Clara, CA
Salary
$184,000–$287,500 / yr
Employment
Full-time
Posted
15 days ago
Freshness
Confirmed live today
Closes
Jan 30, 2027

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $192k
This role $236k
$132k $304k
below market most similar roles pay here above market

This role pays more than 85% of similar roles. Most pay $149,018–$235,750 — the blue band above. At the midpoint, this role pays about $236k versus about $192k 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 Systems Engineer, Autonomous Driving

JOB TITLE: Senior Systems Engineer - Autonomous Driving The Senior Systems Engineer - Autonomous Driving joins the team to develop use cases and system requirements for L3 and L4 autonomous driving products. This role involves performing system-level analysis to define performance requirements, allocating performance budgets across subsystems, and formulating test cases to ensure compliance with functional and safety requirements. The engineer will define online and offline test strategies, partner with Data Analytics and Test Engineering teams, and drive innovation in requirements decomposition and traceability. Key technical requirements include experience with SOTIF analysis, functional safety, and multi-functional architectural trade-off analysis. Candidates must possess coding skills in Python, SQL, and C++. The work focuses on solving complex problems in safety-critical systems, including deep learning approaches and modular perception stacks for autonomous vehicles.

What does a Systems Engineer earn in California?

Median $191000 from 99 postings across 21 companies.

See salary data

What you'll do

  • Develop use cases and system requirements for L3 and L4 autonomous driving products.
  • Perform system-level analysis to define performance requirements and allocate budgets across subsystems.
  • Formulate test cases and define critical performance metrics to ensure functional and safety compliance.
  • Define and drive online and offline test strategies for both vehicle and component levels.
  • Prove that datasets cover sufficient scenarios and requirements through appropriate sampling strategies.
  • Drive innovation in requirements decomposition, traceability, and verification processes.
  • Promote and cultivate a strong systems engineering approach across the organization.

What we're looking for

  • MS or PhD in Engineering, Physics, Computer Science, or a related field (or equivalent experience).
  • 8+ years of proven experience in safety-critical systems engineering, system analysis, data analysis, and software architecture.
  • Strong software development background with proven coding skills.
  • Hands-on experience in SOTIF analysis (ISO 21448), functional safety (ISO 26262), and multi-functional architectural trade-off analysis.
  • Strong leadership and interpersonal skills to drive alignment across large organizations.
  • Proven understanding of trade-offs between End-to-End deep learning approaches and classical modular perception/planning stacks.
  • Experience contributing to a launched L3/L4 autonomous vehicle program (preferred).
  • Experience in AI safety, safety validation for ML-based systems, and proficiency in Python, SQL, and C++ (preferred).

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