Robotics QA Lead — AI Testing & Simulation

Segment (Twilio); Santa Clara (CA); On-site; USD 216,000 - 345,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Senior Manager of Robotics Quality Assurance to lead the SW QA team and drive quality for the Nvidia Robotics portfolio. You will define test strategy, build scalable frameworks, and coordinate cross-functional teams to ensure robust, real-world robotics performance.

Responsibilities include test automation for on-robot hardware/software, AI foundation model validation, and sim-to-real testing across Isaac Sim/Lab and ROS stacks.

Qualifications

• Bachelor's degree in Mechanical/Electrical/Computer Engineering or related field.
• 12+ years in hardware engineering with 3+ years QA in robotics or hardware.
• 5+ years leading a team.
• Proficiency with AI tools (Cursor, Github Copilot, Perplexity, ChatGPT).
• Experience in ML and training/testing robotics models.
• Strong cross-functional collaboration and communication.

Responsibilities

• Define and drive the test engineering strategy for robotics products, including scalable test frameworks and methodologies.
• Deliver test automation for on-robot hardware/software and embedded systems.
• Architect and implement test plans for AI foundation models focusing on performance, safety, and reliability.
• Build and maintain test infra within Simulation & Digital Twins environments (Isaac Sim/Lab).
• Oversee test automation for the Robotics Software Stack (Isaac ROS) and integration with components.
• Lead design of complex test scenarios in Isaac Sim/Lab bridging sim-to-real for robot policies.

Skills

Senior leadership

QA in robotics

AI tools

ML for robotics

Cross-functional collaboration

Python scripting

Education

B.S. in Engineering

Tools

Python

Job description

NVIDIA is seeking a Senior Manager of Robotics Quality Assurance to lead the SW QA team and drive quality for the Nvidia Robotics portfolio. You will define test strategy, build scalable frameworks, and coordinate cross-functional teams to ensure robust, real-world robotics performance.

Responsibilities include test automation for on-robot hardware/software, AI foundation model validation, and sim-to-real testing across Isaac Sim/Lab and ROS stacks.