Senior Software Test Lead,  L3 and L4 - Autonomous Vehicles

Nvidia

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$200,000–$322,000 / yr
Posted
46 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $219k
This role $261k
$167k most similar roles pay here $339k

This role pays more than 86% of similar roles. Most pay $192,387–$246,150 — the shaded band above. At the midpoint, this role pays about $261k versus about $219k 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 860 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 848 roles with salary data.

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At a glance

TL;DR · Senior Software Test Lead,  L3 and L4 - Autonomous Vehicles

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As an experienced Senior Autonomous Vehicle Test Engineer at NVIDIA, you will join a dynamic team dedicated to advancing AI-driven computing solutions for autonomous vehicles. Your primary responsibilities include developing comprehensive test strategies and scenarios for L3 and L4 autonomous driving products, ensuring compliance with functional and safety requirements through close collaboration with engineering, safety, and product teams. You will lead the integration of vehicle systems, manage end-to-end testing processes, and drive issue resolution by conducting data triage and root cause analysis. Proficiency in Python and C++, along with a deep understanding of autonomous vehicle sensor suites and validation methodologies like ISO 26262 and SOTIF, is essential. This role demands strong leadership skills to foster innovation and rigorous testing standards across the organization.

Skills

Python C++ ISO 26262 ISO 21448 V-model LiDAR Radar Camera Ultrasonic Data analytics End-to-End deep learning CI/CD

What you'll do

  • Develop test strategies and use cases for L3 and L4 autonomous driving products based on customer needs and regulations.
  • Define vehicle platform test plans and critical performance metrics to ensure compliance with safety standards.
  • Lead data triage, root cause analysis, and issue resolution, generating comprehensive test reports.
  • Manage end-to-end processes for L3/L4 vehicle integration and retrofitting to advance testing schedules.
  • Scale product ODDs by designing campaigns and roadmaps in collaboration with multi-functional teams.
  • Promote a strong systems engineering approach across the organization to enhance product progress evaluation.

What we're looking for

  • MS or PhD in Engineering, Physics, Computer Science, or related field (or equivalent experience).
  • 12+ years of experience in ADAS, system analysis, data analysis, and software architecture.
  • Experience driving mass-production launches of autonomous driving products.
  • Proficiency in Python, C++, and data query/analysis tools.
  • Knowledge of ISO 26262, SOTIF (ISO 21448), and V-model validation methodologies.
  • Strong leadership skills with ability to drive alignment across large organizations.
  • Deep understanding of autonomous vehicle sensor suites and their failure modes.

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