Software QA Test Developer, Robotics
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 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.
What you'll be doing:
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.
You'll 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.
What we need to see:
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+ 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
Ways to stand out from the crowd:
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
You will also be eligible for equity and benefits.
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NVIDIA is a publicly traded, multinational technology company headquartered in Santa Clara, California. NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, and ignited the era of modern AI.
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