Senior Manager, Robotics Quality Assurance

Details

NVIDIA is seeking a Senior Manager, Robotics Quality Assurance to join its Software Quality Assurance team and drive quality and innovation for the Robotics team. The role focuses on engineering processes, scalable testing, and maintaining high industry standards across full-stack robotics solutions.

Responsibilities

• Define and drive the overall test engineering strategy for robotics products, including scalable test frameworks, tools, methodologies, product testing, and engineering efforts across full-stack robotics solutions.
• Develop test automation for on-robot hardware and software, including embedded software running on the NVIDIA Jetson AGX Thor platform, sensor integration validation, real-time performance, and low-level control systems.
• Architect and implement test plans for AI foundation models such as Isaac GR00T, validating performance, safety, reliability, model outputs, edge cases, and robustness in real-world scenarios.
• Build and maintain test infrastructure in simulation and digital twin environments, including Isaac Sim and Isaac Lab.
• Develop automated tests to verify physics engine accuracy and the transferability of learned policies from simulation to physical robots.
• Oversee test automation 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.
• Develop testing methodologies that bridge the sim-to-real gap and create continuous feedback between virtual and physical testing.
• Design complex Isaac Sim and Isaac Lab test scenarios using generative AI to stress-test robot policies and verify that models trained with Isaac GR00T perform reliably on physical hardware.
• Manage fleet operations, telemetry, debugging, and demonstrations.
• Collaborate with project management, hardware developers, software developers, and other cross-functional teams.
• Share statistical data reports with customers, including Top-5 customers.
• Translate organizational goals into QA deliverables.

Requirements

• Bachelor's degree or equivalent experience in Mechanical Engineering, Electrical Engineering, Computer Engineering, or a related field.
• At least 12 years of aligned hardware engineering experience, including at least 3 years of demonstrable QA experience involving robotics or hardware engineering.
• At least 5 years of experience leading a team.
• Proficiency with AI tools such as Cursor, GitHub Copilot, Perplexity, and ChatGPT.
• Experience with machine learning and training or testing robotics models.
• Strong problem-solving, analytical, and communication skills.

Preferred Qualifications

• Experience incorporating Vision-Language Models (VLMs) into robotics applications, including enabling robots to interpret visual and linguistic inputs and perform tasks from natural-language commands and visual scene interpretation.
• Teleoperation experience, including manipulation and setting up data-collection labs.
• Fluency in Python scripting.

Compensation And Additional Information

The base salary range is USD 216,000–345,000 per year, determined by location, experience, and compensation for similar positions. The role is also eligible for equity and benefits. Applications will be accepted at least until August 7, 2026. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.