Lead Safety Architect, Autonomous Vehicles

Nvidia

Confirmed live yesterday High trust

Remote

Quick summary

Work type: Remote
Location: Santa Clara, CADCNCWAFL
Salary: $224,000–$356,500 / yr
Employment: Full-time
Posted: 19 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $226k

This role $290k

$161k most similar roles pay here $377k

This role pays more than 86% of similar roles. Most pay $191,851–$260,000 — the shaded band above. At the midpoint, this role pays about $290k versus about $226k 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 1371 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1096 roles with salary data.

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At a glance

TL;DR · Lead Safety Architect, Autonomous Vehicles

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As a Lead Safety Architect - Autonomous Vehicles, you will join the team to ensure safety at scale for autonomous vehicle technology and DRIVE products. You will lead multi-functional initiatives to define safety architecture and requirements while delivering safety concepts and analysis to enable continuous software deliveries. Your daily work involves defining and improving safety metrics in collaboration with experts in perception, AI, motion planning, and safety architecture. You will also improve processes and tools for safety analysis and data-driven evaluation while sharing readiness results with management. The role requires expertise in system safety methodologies like FMEA, FTA, STPA, and standards such as ISO 26262, IEC 61508, UL4600, ISO21448, and ISO 8800. You will apply skills in robotics, machine learning, data science, statistics, and sensor technologies like radar, lidar, and camera systems.

Skills

Autonomous Vehicle Systems Machine Learning Robotics Data Science Statistics Sensor Technologies Radar Lidar FMEA FTA STPA ISO 26262 IEC 61508 UL4600 ISO21448 ISO 8800

What you'll do

Lead multi-functional initiatives to define safety architecture and requirements for autonomous vehicles.
Deliver safety concepts and analysis to enable continuous and safe software deliveries.
Define and improve safety metrics in collaboration with perception, AI, and motion planning experts.
Improve processes and tools for safety analysis and data-driven evaluation.
Share safety analysis and readiness results with colleagues and management.
Integrate safety measures into the latest DRIVE products to meet high safety standards.

What we're looking for

MS or higher in Computer Science, Robotics, or equivalent experience.
12+ years of relevant industry experience.
A structured approach to systems and software development.
Proven record of successfully leading multi-functional efforts in architecture, development, or verification.
Excellent analytical and problem-solving skills.
Strong written and verbal communication skills.
Experience in ADAS, autonomous vehicle systems, machine learning, robotics, data science, or statistics (preferred).
Knowledge of sensor technologies, safety methodologies (FMEA, FTA, STPA), and safety standards (ISO 26262, IEC 61508, UL4600, ISO21448, ISO 8800) (preferred).

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