Software QA Test Developer, Robotics at NVIDIA

Santa Clara, California, United States -

Full Time

Start Date

Immediate

Expiry Date

20 Dec, 25

Salary

212750.0

Posted On

21 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Quality Assurance, Robotics, Test Automation, Embedded Software, AI Tools, Machine Learning, Data Collection, Python, Simulation, Digital Twins, Generative AI, Telemetry, Debugging, Fleet Management, Test Infrastructure, Control Systems

Industry

Computer Hardware Manufacturing

Description

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 Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 212,750 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 24, 2025. 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. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Responsibilities

You will create test plans and automate testing for the NVIDIA Robotics team, focusing on humanoid robots. Your role includes building and maintaining test infrastructure and developing methodologies to bridge the simulation and real-world testing.