Used Tools & Technologies
Not specified
Required Skills & Competences ?
Python @ 6 GitHub @ 6 Leadership @ 6 Communication @ 7 Debugging @ 4 Project Management @ 4 QA @ 4 ChatGPT @ 6Details
We are looking for a Senior Manager in Robotics Quality Assurance to join the software QA team for NVIDIA Robotics. You will help define engineering processes, build cross-functional relationships, and drive quality and innovation across full-stack robotics solutions, spanning on-robot hardware & software, embedded systems, simulation/digital twins, and AI foundation models.
Responsibilities
- Define and drive the overall test engineering strategy for robotics products, including design for scalable test frameworks, tools, and methodologies.
- 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 NVIDIA Jetson AGX Thor (sensor integration validation, real-time performance, low-level control systems).
- Architect and implement rigorous test plans to validate AI foundation models (e.g., Isaac GR00T) for performance, safety, and reliability; identify edge cases and ensure robustness.
- Build and maintain test infrastructure for Simulation & Digital Twins environments (Isaac Sim and Isaac Lab), including automated tests verifying physics engine accuracy and sim-to-real transferability.
- Oversee test automation development for the Robotics Software Stack, including Isaac ROS and its integration with other robotic components.
- Architect, build, and maintain test infrastructure for a humanoid reference platform and develop methodologies to bridge the sim-to-real gap with continuous feedback between virtual and physical testing.
- Lead design of complex test scenarios in Isaac Sim/Lab that use generative AI to stress-test robot policies and ensure models trained in simulation perform reliably on real hardware.
Requirements
- B.S. or equivalent experience in Mechanical, Electrical, Computer Engineering or related field (or equivalent experience).
- 12+ years overall hardware engineering aligned experience, with 3+ years of demonstrable QA experience involving robotics or hardware engineering.
- 5+ years of team leadership experience.
- Proficiency with AI tooling such as Cursor, GitHub Copilot, Perplexity, and ChatGPT.
- Experience with ML and training/testing robotics models.
- Experience with fleet management, telemetry and debugging, and managing demos.
- Ability to engage closely with cross-functional teams (project management, hardware and software developers) and routinely share statistical data reports with customers.
- Ability to translate organizational goals into QA deliverables.
- Strong problem-solving, analytical skills, and excellent communication skills.
Ways to Stand Out
- Experience incorporating Vision-Language Models (VLMs) into robotics solutions.
- Experience with teleoperation, manipulation, and setting up data-collection labs.
- Fluent scripting in Python.
Compensation & Benefits
- Base salary range: 216,000 USD - 345,000 USD (determined by location, experience, and market).
- Eligible for equity and company benefits (link to benefits provided in original posting).
Additional Information
- Applications accepted at least until September 7, 2025.
- NVIDIA is an equal opportunity employer and values diversity; they do not discriminate on the basis of protected characteristics.