Senior Systems Safety Engineer - Autonomous Vehicles

Nvidia

Remote

Quick summary

Work type
Remote
Location
Santa Clara, CA
Salary
$184,000–$287,500 / yr
Posted
5 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $203k
This role $236k
$151k most similar roles pay here $302k

This role pays more than 83% of similar roles. Most pay $170,000–$235,750 — the shaded band above. At the midpoint, this role pays about $236k versus about $203k 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 994 open roles on FindRole.

Listed pay typically runs $168,000–$270,250 across 977 roles with salary data.

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At a glance

TL;DR · Senior Systems Safety Engineer - Autonomous Vehicles

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NVIDIA is hiring system safety engineers at a senior level to lead the development of AI-powered autonomous driving systems using V-Model methodologies. In this role, you will work with cross-disciplinary teams including AI, computer vision, software architecture, and planning and control to derive functional and safety requirements, integrate them, and validate the entire system. You will mentor teams in best practices for requirements management and verification, ensuring traceability and alignment with customer processes using tools like JAMA. Ideal candidates have a strong background in systems engineering methodologies, experience applying V-Model to complex projects, and hands-on knowledge of ADAS or autonomous vehicle systems, along with expertise in MBSE, system safety methodologies (FMEA, FTA), and relevant standards such as ISO 26262 and IEC 61508.

Skills

V-Model MBSE JAMA FMEA FTA STPA CPA ISO 26262 IEC 61508 ISO 21448 ISO 8800 Requirements Management Configuration Management Risk Management Verification and Traceability Architectural Decomposition ADAS Autonomous Vehicle Systems

What you'll do

  • Derive functional and safety requirements using V-Model methodologies.
  • Mentor development teams on architecture decomposition and validation practices.
  • Guide teams in system safety engineering methodologies for development.
  • Manage requirements traceability and verification methodologies for safety.
  • Collaborate with other teams on V-Model process improvements and alignment.
  • Apply MBSE methods to safety and security functions in autonomous systems.

What we're looking for

  • BS, MS or PhD in Computer Science, Engineering, or equivalent experience with 8+ years of industry experience.
  • Proven hands-on experience applying V-Model methodologies across all stages of SW development life cycle.
  • Strong background in system safety engineering methodologies and practices (FMEA, FTA, STPA).
  • Experience in ADAS or autonomous vehicle systems using Model Based System Engineering (MBSE).
  • Expertise in safety standards such as ISO 26262, IEC 61508, ISO 21448, and ISO 8800.
  • Ability to guide teams in requirements process, workflow, and good practices for system engineering.

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