Senior Manager, Robotics Quality Assurance

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$216,000–$345,000 / yr
Posted
11 days ago
Freshness
Confirmed live yesterday
Closes
Nov 1, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $203k
This role $280k
$127k most similar roles pay here $368k

This role pays more than 91% of similar roles. Most pay $170,000–$235,750 — the shaded band above. At the midpoint, this role pays about $280k 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 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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At a glance

TL;DR · Senior Manager, Robotics Quality Assurance

The Senior Manager, Robotics Quality Assurance joins the SW QA team to drive quality and innovation for the robotics division. This role involves defining test engineering strategies for robotics products, building scalable test frameworks, and leading product testing across a full-stack robotics solution. Key responsibilities include developing test automation for on-robot hardware and software on the Jetson AGX Thor platform, validating AI foundation models like Isaac GR00T, and maintaining infrastructure within Isaac Sim and Isaac Lab environments to bridge the sim-to-real gap. The candidate will utilize tools such as Cursor, GitHub Copilot, Perplexity, and ChatGPT while leveraging Python for scripting. Core competencies include experience with machine learning, robotics model testing, fleet management, telemetry, and debugging. The role addresses critical challenges in sensor integration, real-time performance, low-level control systems, and the reliability of robot policies in real-world scenarios.

What you'll do

  • Define and drive the overall test engineering strategy for robotics products using scalable frameworks and methodologies.
  • Develop test automation for on-robot hardware, embedded software, and sensor integration on the Jetson AGX Thor platform.
  • Architect and implement rigorous test plans to validate AI foundation models for performance, safety, and reliability.
  • Build and maintain test infrastructure within simulation environments like Isaac Sim and Isaac Lab to verify physics accuracy.
  • Oversee test automation development for the full robotics software stack, including Isaac ROS integration.
  • Develop testing methodologies to bridge the "sim-to-real" gap between virtual simulations and physical robot hardware.
  • Design complex test scenarios using generative AI to stress-test robot policies in simulation environments.

What we're looking for

  • Bachelor’s degree in Mechanical, Electrical, Computer Engineering, or a related field.
  • Experience in Hardware Engineering.
  • 3+ years of demonstrable experience in QA involving Robotics or Hardware Engineering.
  • 5+ years of experience leading a team.
  • Experience with Machine Learning and training/testing robotics models.
  • Proficiency with AI tools such as Cursor, GitHub Copilot, Perplexity, and ChatGPT.
  • Fluency in scripting with Python.
  • Experience with Vision-Language Models (VLMs) and teleoperation is preferred.

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