Nvidia Robotics team is looking for a Senior Manager, Robotics Quality Assurance to drive all Quality and Innovation for their robotics products, ensuring the highest industry standards are met.
Requirements
- Demonstrable experience in QA involving Robotics or Hardware Engineering
- 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
- 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
Responsibilities
- 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.
- 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.
Other
- 5+ years of leading a team
- 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
