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.

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  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

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  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.

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  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.

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  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.

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  Oversee test automation development for the full “Robotics Software Stack”, including Isaac ROS, and its integration with other robotic components.

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  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.

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  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.

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  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.

• 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

• 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

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This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.