NVIDIA Robotics team is looking for a SW QA Test Developer to drive Quality and Innovation, focusing on creating test plans and automating testing for robots, including humanoid robots and training models.
Requirements
- 5+ years of Hardware or Robotics engineering experience with 3+ yrs of demonstrable experience focused on Quality Assurance in these areas
- Proficiency with AI Tools such as Cursor, Github Copilot, Perplexity, and ChatGPT
- Experience with ML and training /testing Robotics Models
- Fleet management, telemetry, debug, along with managing executive demos
- Strong SWQA and QA tooling work experience in relation to Robotics testing
- Understanding of Teleoperation – Manipulation and setting up data collection labs
- Fluent in scripting in Python
Responsibilities
- Write test automation development for “On-Robot Hardware & Software” and embedded software running on our NVIDIA Jetson AGX Thor platform encompassing sensor integration validation, real-time performance, and low-level control systems.
- Build and maintain the test infrastructure within our “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 development for the full “Robotics Software Stack”, including Isaac ROS, and its integration with other robotic components.
- Architect, build, and maintain the test infrastructure for a humanoid reference platform showcasing the power of NVIDIA's technology and develop testing methodologies bridging the "sim-to-real" gap, creating a continuous feedback loop 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 physical hardware.
- Guide crafting intricate test scenarios in Isaac Sim/Lab with generative AI to test robot policies, ensuring simulation-trained models (using Isaac GR00T) function on physical hardware.
Other
- B.S. or equivalent experience in Mechanical/Electrical/Computer Engineering or related field (or equivalent experience)
- NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.
- As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
