Description
We are looking for a Senior Manager, Robotics Quality Assurance to join our SW QA team. As a key member of the team, you will drive all Quality and Innovation for the Nvidia Robotics team. Your primary responsibility will be to 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.
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.
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.
The ideal candidate will have a B.S. or equivalent experience in Mechanical/Electrical/Computer Engineering or related field (or equivalent experience). They should have 12+ overall years aligned Hardware Engineering experience w 3+ years of demonstrable experience in QA involving Robotics or Hardware Engineering. Additionally, they should have 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.
The successful candidate will be able to translate organizational goals to QA deliverables, possess strong problem-solving and analytical skills with excellent communication skills. They will also be eligible for equity and benefits.