Software QA Test Developer, Robotics

Details

We are looking for a SW QA Test Developer for Robotics to join our team. You will be part of a team that drives all Quality and Innovation for the NVIDIA Robotics team. You’ll create test plans, automating as much of your work as possible so you can focus on testing the actual robots. The ideal candidate has hands-on experience testing humanoid robots and also understands how to collect and work with data to train the models.

Responsibilities

• Write test automation for On-Robot Hardware & Software and embedded software running on the NVIDIA Jetson AGX Thor platform, encompassing sensor integration validation, real-time performance, and low-level control systems.
• Build and maintain the test infrastructure within Simulation & Digital Twins environments (Isaac Sim and Isaac Lab), developing automated tests verifying physics engine accuracy and the transferability of learned policies from simulation to the real robot.
• Write test automation for the full Robotics Software Stack, including Isaac ROS, and its integration with other robotic components.
• Architect, build, and maintain test infrastructure for a humanoid reference platform, and develop testing methodologies that bridge the sim-to-real gap, creating continuous feedback between virtual and physical testing.
• Lead the design of complex test scenarios in Isaac Sim/Lab that use generative AI to stress-test robot policies, ensuring that models trained in simulation (using Isaac GR00T) perform reliably on real hardware.
• Guide crafting intricate test scenarios with generative AI to validate simulation-trained models on physical robots.

Requirements

• B.S. or equivalent experience in Mechanical, Electrical, Computer Engineering, or related field (or equivalent experience).
• 5+ years of Hardware or Robotics engineering experience, with 3+ years of demonstrable experience focused on Quality Assurance in these areas.
• Proficiency with AI tools such as Cursor, GitHub Copilot, Perplexity, and ChatGPT.
• Experience with machine learning and training/testing robotics models.
• Experience in fleet management, telemetry, debugging, and managing executive demos.
• Strong capability in test automation and QA tooling for robotics; familiarity with simulation-to-reality validation.
• Fluent scripting ability in Python (preferred/stand-out skill).

Preferred / Ways to Stand Out

• Strong SWQA and QA tooling experience specifically for robotics testing.
• Understanding of teleoperation for manipulation and experience setting up data collection labs.
• Advanced scripting in Python and experience integrating generative AI into test scenarios.

Benefits

• Base salary range: 136,000 USD - 212,750 USD (determined by location, experience, and internal pay equity).
• Eligible for equity and additional benefits (see NVIDIA benefits).
• Applications accepted at least until September 24, 2025.
• NVIDIA is an equal opportunity employer and committed to a diverse work environment.