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Senior Manager, Robotics Quality Assurance

NVIDIA· Mgmt, SW QA
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Santa Clara, CA$216k - $345kFull-timePosted 7mo ago

About the role

Senior management role leading QA strategy and test engineering for NVIDIA Robotics, driving quality, automation, and simulation-based testing across the full robotics software and hardware stack.

Responsibilities

  • Define and drive the overall test engineering strategy for robotics products, establishing an engineering-focused approach to quality with 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 on NVIDIA Jetson AGX Thor, including sensor integration validation, real-time performance, and low-level control systems
  • Architect and implement rigorous test plans to validate AI Foundation models (e.g., Isaac GR00T) focusing on performance, safety, and reliability in real-world scenarios, including testing model outputs and edge cases
  • Build and maintain test infrastructure within Simulation & Digital Twins environments (Isaac Sim and Isaac Lab), developing automated tests for physics engine accuracy and sim-to-real transferability
  • Oversee test automation development for the Robotics Software Stack (Isaac ROS) and its integration with other robotic components
  • Architect, build, and maintain test infrastructure for a humanoid reference platform, bridging sim-to-real gap and creating continuous feedback between virtual and physical testing
  • Lead design of complex test scenarios in Isaac Sim/Lab using generative AI to stress-test robot policies and ensure simulation-trained models perform reliably on real hardware
  • Lead the design of complex test scenarios using generative AI to stress-test robot policies and ensure sim-to-real robustness

Qualifications

  • B.S. or equivalent in Mechanical/Electrical/Computer Engineering or related field (or equivalent experience)
  • 12+ years overall Hardware Engineering experience with 3+ years 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 with ML and training/testing Robotics Models
  • Fleet management, telemetry and debugging, and managing demos
  • Ability to engage with cross-functional teams (project management, hardware and software developers) and share statistical data reports with customers (including Top-5)
  • Ability to translate organizational goals to QA deliverables
  • Strong problem solving, analytical, and communication skills

Skills

Required:Test strategy and leadershipTest automation developmentAI model testing (foundation models)Simulation to real-world validationLeadership
Nice to have:Python scripting

Benefits

  • Equity
  • Benefits (see company page)
Last updated Sep 18, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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