Senior Manager, Robotics Quality Assurance

We are looking for a Senior Manager, Robotics Quality Assurance to join our SW QA team! You will part of a team that drives all Quality and Innovation for the Nvidia Robotics team! You’ll create engineering processes and build relationship bridges to ensure that the highest industry standards are met.

What you'll be doing:

• Define and drive the overall test engineering strategy for our robotics products, establishing an engineering-focused approach to quality encompassing design for scalable test frameworks, tools, and methodologies and lead product testing and engineering efforts across a full-stack robotics solution

• Deliver 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.

• Architect and implement rigorous test plans to validate “AI Foundation models”, like Isaac GR00T, focused on performance, safety, and reliability in real-world scenarios. This involves testing model outputs, identifying edge cases, and ensuring robustness.

• 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.

• Oversee 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.

• Lead 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.

What we need to see:

• B.S. or equivalent experience in Mechanical/Electrical/Computer Engineering or related field (or equivalent experience)

• 12+ overall years aligned Hardware Engineering experience w 3+ years of demonstrable experience in QA involving Robotics or Hardware Engineering

• 5+ years of leading a team

• Proficiency with AI Tools such as Cursor, Github Copilot, Perplexity, and ChatGPT

• Experience in with ML and training /testing Robotics Models

• Fleet management, telemetry and debug, along with managing demo’s

• Engage closely with a range of cross functional teams including project management, hardware and software developers, and routinely share statistical data reports with all customers, including Top-5.

• Ability to translate organizational goals to QA deliverables

• Strong problem solving and analytical skills with excellent communication skills

Ways to stand out from the crowd:

• Incorporating Vision-Language Models (VLMs) -Designing, developing, and deploying robots that can understand and respond to both visual and linguistic inputs, enabling them to perform complex tasks through natural language commands and visual scene interpretation

• 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 216,000 USD - 345,000 USD.Applications for this job will be accepted at least until September 7, 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.