NVIDIA Corporation

Senior Research Engineer, Robotics Systems

NVIDIA Corporation$184K — $356K *
Consumer Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's in Computer Science, Robotics, Engineering, or equivalent experience; advanced degrees preferred.
  • 8+ years of industry experience in robotics hardware or software full-stack.
  • Hands-on experience deploying and debugging neural network models on robotics hardware.
  • Ability to implement real-time control algorithms and teleoperation stack.
  • Proficient in Python, Rust, C++ and familiar with robotics frameworks (ROS) and physics simulation tools (Gazebo, Mujoco, Isaac).
  • Experience in maintaining and troubleshooting mechanical, electrical, and software components of robotic systems.
  • Ability to work on-site at NVIDIA HQ on all business days.

Responsibilities

  • Design and maintain teleoperation software for precise control of humanoid robots.
  • Develop and optimize control algorithms for locomotion, manipulation, and whole-body control.
  • Deploy and evaluate neural network models in physics simulations and on actual humanoid robots.
  • Implement tools for robot maintenance and diagnostics to ensure reliability.
  • Monitor lab teleoperators and establish quality assurance processes for data collection.
  • Collaborate on model training, data management, and the entire MLOps lifecycle.

Benefits

  • Equity participation.
  • Comprehensive health and wellness plans.
  • Access to professional development resources.
  • Flexible work arrangements for on-site and off-site challenges.
Full Job Description
NVIDIA is searching for a senior or principal engineer who specializes in robotics systems in the Generalist Embodied Agent Research (GEAR) group. Our team is leading Project GR00T, NVIDIA's moonshot initiative at building foundation models and full-stack technology for humanoid robots. You will work with an amazing and collaborative research team that consistently produces influential works on multimodal foundation models, large-scale robot learning, embodied AI, and physics simulation. Our past projects include Eureka, VIMA, Voyager, MineDojo, MimicPlay, Prismer, and more. Your contributions will have a significant impact on our research projects and product roadmaps.

What you will be doing:
  • Design and maintain teleoperation software for controlling humanoid robots with low latency and high precision;
  • Develop and optimize the control stack, including locomotion, manipulation, and whole-body control algorithms;
  • Deploy and evaluate neural network models in physics simulation and on real humanoid hardware;
  • Implement tools and processes for regular robot maintenance, diagnostics, and troubleshooting to ensure system reliability;
  • Monitor teleoperators at the lab and develop quality assurance workflows to ensure high-quality data collection;
  • Collaborate with researchers on model training, data processing, and the full MLOps lifecycle.


What we need to see:
  • A Bachelor's Degree in Computer Science, Robotics, Engineering, or a related field or equivalent experience; advanced degrees are helpful.
  • 8+ years of full-time industry experience in robotics hardware or software full-stack;
  • Hands-on experience with deploying and debugging neural network models on robotic hardware;
  • Ability to implement real-time control algorithms, teleoperation stack, and sensor fusion;
  • Proficiency in languages such as Python, Rust, C++, and experience with robotics frames (ROS) and physics simulation (Gazebo, Mujoco, Isaac, etc.).
  • Experience in maintaining and troubleshooting robotic systems, including mechanical, electrical, and software components.
  • Physically work on-site at NVIDIA HQ on all business days.


Ways to stand out from the crowd:
  • Master's or PhD's degree in Computer Science, Robotics, Engineering, or a related field;
  • Experience at autonomous driving or humanoid robotics companies on real hardware deployment;
  • Experience in robot hardware design;
  • Demonstrated Tech Lead experience, coordinating a team of robotics engineers and driving projects from conception to deployment as well as contributions to popular open-source robotics frameworks or research publications in top-tier conferences, such as ICRA, IROS, RSS, CoRL.


Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 4, 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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