Senior Manager, Robotics Quality Assurance

Nvidia • Santa Clara, CA

112d • $216,000 - $345,000

About The Position

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.

Requirements

• B.S. or equivalent experience in Mechanical/Electrical/Computer Engineering or related field (or equivalent experience).
• 12+ overall years aligned Hardware Engineering experience with 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 ML and training/testing Robotics Models.
• Fleet management, telemetry and debug, along with managing demos.
• 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.

Nice To Haves

• 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.
• 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.

Benefits

• Equity and benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Computer and Electronic Product Manufacturing
• Education Level: Bachelor's degree