NVIDIA Corporation

Senior Manager, Robotics Quality Assurance

NVIDIA Corporation$216K — $345K *
Technical Services
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • B.S. or equivalent experience in Mechanical/Electrical/Computer Engineering or related field.
  • 12+ years of Hardware Engineering experience with 3+ years in QA specifically for Robotics or Hardware Engineering.
  • 5+ years experience in a leadership role.
  • Proficiency in AI tools such as Cursor, Github Copilot, Perplexity, and ChatGPT.
  • Experience in ML and testing/validating Robotics Models.
  • Expertise in fleet management and telemetry debugging, including managing demos.
  • Strong analytical and communication skills.

Responsibilities

  • Define and implement the test engineering strategy for robotics products.
  • Develop automation for testing On-Robot Hardware & Software and embedded software on NVIDIA Jetson AGX Thor.
  • Architect and execute test plans for validating AI Foundation models like Isaac GR00T.
  • Maintain test infrastructure in Simulation & Digital Twins environments like Isaac Sim and Isaac Lab.
  • Oversee automation development across the full Robotics Software Stack, including Isaac ROS.
  • Build and maintain test infrastructures for humanoid reference platforms.
  • Lead design of complex test scenarios in Isaac Sim/Lab using generative AI for stress-testing policies.

Benefits

  • Equity options included as part of compensation.
  • Access to diverse work environment and equal opportunity practices.
Full Job Description
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.

What you'll be doing:
  • 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.
  • You'll 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.
  • Lead 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.


What we need to see:
  • B.S. or equivalent experience in Mechanical/Electrical/Computer Engineering or related field (or equivalent experience)
  • 12+ overall years aligned Hardware Engineering experience w 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 with ML and training /testing Robotics Models
  • Fleet management, telemetry and debug, along with managing demo's
  • 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


Ways to stand out from the crowd:
  • 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


Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 216,000 USD - 345,000 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 1, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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