1

Manager Nvidia Robotics Jobs in Seattle, WA (NOW HIRING)

Collaborating with product managers and engineering teams to transfer your research into NVIDIA ... A PhD in Robotics, Machine Learning, Computer Science, Electrical Engineering, Mechanical ...

Senior Robotics Research Scientist

Seattle, WA · On-site

$112K - $142K/yr

... managers and engineering teams to transfer your research into NVIDIA products that will have real ... Required : • A PhD in Robotics, Machine Learning, Computer Science, Electrical Engineering ...

next page

Showing results 1-20

Manager Nvidia Robotics information

See Seattle, WA salary details

$26.2K

$69.8K

$116.6K

How much do manager nvidia robotics jobs pay per year?

As of Aug 1, 2026, the average yearly pay for manager nvidia robotics in Seattle, WA is $69,819.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,100.00 and $78,500.00 per year, depending on experience, location, and employer.

What is the difference between Manager Nvidia Robotics vs Robotics Engineer?

AspectManager Nvidia RoboticsRobotics Engineer
Required CredentialsBachelor's/Master's in Engineering, Management experienceBachelor's/Master's in Robotics, Mechanical, or Electrical Engineering
Work EnvironmentTeam leadership, project management, strategic planningDesign, develop, test robotic systems
Industry UsageOversees robotics projects in tech and manufacturingBuilds and codes robotic systems in R&D labs

The Manager Nvidia Robotics typically oversees robotics projects, requiring leadership and management skills, while Robotics Engineers focus on designing and developing robotic systems. Both roles are integral in the robotics industry but differ in responsibilities and daily tasks.

What are the typical challenges faced by a Manager in Nvidia Robotics, and how can new hires prepare for them?

Managers in Nvidia Robotics often encounter challenges related to overseeing multidisciplinary teams, integrating cutting-edge AI and hardware solutions, and managing fast-paced project cycles. New hires can prepare by developing strong project management skills, staying current with robotics and AI advancements, and fostering effective communication between hardware, software, and research teams. Being adaptable and proactive in problem-solving is crucial, as the field rapidly evolves and projects may shift priorities based on technological breakthroughs or business needs.

What are the key skills and qualifications needed to thrive as a Manager Nvidia Robotics, and why are they important?

To thrive as a Manager Nvidia Robotics, you need a solid background in robotics, computer science or engineering, combined with proven leadership experience and a relevant degree. Familiarity with NVIDIA’s robotics platforms (such as Isaac SDK), AI frameworks, and project management tools is typically required, along with certifications in project management or engineering disciplines. Strong communication, problem-solving, and team leadership skills help drive cross-functional collaboration and innovation. These capabilities are crucial for successfully guiding technical teams, delivering complex robotics solutions, and maintaining a competitive edge in a fast-evolving industry.

What does a Manager of Nvidia Robotics do?

A Manager of Nvidia Robotics leads teams that develop, implement, and optimize robotics solutions using Nvidia's AI and GPU technologies. They oversee projects related to robotics hardware, software, and systems integration, ensuring products meet technical and business requirements. This role involves collaborating with engineers, researchers, and product managers to drive innovation and maintain project timelines. Additionally, the manager acts as a bridge between technical teams and upper management, helping to set strategic goals and allocate resources effectively.
What are the most commonly searched types of Nvidia Robotics jobs in Seattle, WA? The most popular types of Nvidia Robotics jobs in Seattle, WA are:
What are popular job titles related to Manager Nvidia Robotics jobs in Seattle, WA? For Manager Nvidia Robotics jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Manager Nvidia Robotics jobs in Seattle, WA look for? The top searched job categories for Manager Nvidia Robotics jobs in Seattle, WA are:
Infographic showing various Manager Nvidia Robotics job openings in Seattle, WA as of July 2026, with employment types broken down into 82% Full Time, 16% Part Time, 1% Temporary, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $69,819 per year, or $33.6 per hour.

Senior Robotics Research Scientist

Nvidia

Seattle, WA

$112K - $142K/yr

Full-time

Re-posted 13 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 241 rated software companies


Job description

We are now looking for a Senior Robotics Research Scientist! NVIDIA is at the forefront of the AI and robotics revolution, and our robotics teams are on a mission to build the essential technology that can enable any company to become a robotics company. The Seattle Robotics Lab is focused on fundamental and applied robotics research across the full robotics stack, including perception, planning, control, reinforcement learning, imitation learning, and simulation. This research aims to transform research paradigms, transfer into NVIDIA's robotics and simulation products, and create new robotics markets for the world.

The Seattle Robotics Lab has led many influential works that have been presented at top robotics, AI, and computer vision conferences; these works include BayesSim, cuRobo, DeXtreme, DiSECT, Factory, GraspNet, ITPS, MimicGen, RVT, and SHAC. (See our publications page for a complete list.) The work has deeply impacted the research community and NVIDIA products, including Isaac Sim, Isaac Lab, and Isaac Manipulator. Furthermore, SRL collaborates closely with other research and engineering teams to advance and leverage the Cosmos and GR00T-N foundation models, as well as the Newton physics simulation engine. The team is targeting several grand challenges in robotics and is aiming to achieve never-before-seen capabilities within 2-3 years. We are looking for world-class senior research scientists to play a pivotal role in these efforts, providing both technical leadership and hands-on technical contributions. These scientists must have exceptional research and engineering skills, a proven research track record, strong supporting references, and a team-first mentality.

What you will be doing:

  • Developing algorithms, models, and methods for robotic manipulation and loco-manipulation, for both industrial and household applications;

  • Integrating these methods into real-world robotic manipulation systems, including those consisting of collaborative robot arms, industrial robot arms, mobile manipulators, humanoids, and dexterous hands;

  • Co-leading and contributing to multi-person research projects that require a diverse set of skills across the robotics and machine learning stack;

  • Engaging with the academic community through high-impact publications, conferences, workshops, and code releases;

  • Collaborating with product managers and engineering teams to transfer your research into NVIDIA products that will have real-world impact;

  • Mentoring interns and more junior research scientists and engineers.

What we need to see:

  • A PhD in Robotics, Machine Learning, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field (or equivalent experience). At least 3 years of research experience after completing your PhD; 5+ years is preferred.

  • Deep knowledge of both the theory and practice of robotics and AI, with a strong interest in connecting your work to real-world robotics applications.

  • A proven track record of research excellence, with work published in top robotics and AI conferences and journals such as RSS, CoRL, ICRA, IROS, IJRR, T-RO, NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, and EMNLP.

  • Exceptional communication, collaboration, and interpersonal skills, with significant experience working on teams as both a leader and a contributor.

  • Exceptional programming skills in Python; in addition, familiarity with C++, CUDA, and Warp is a plus.

  • Fluency in modern deep learning frameworks such as PyTorch and JAX. Significant experience with robotics frameworks such as ROS2 and physics simulation frameworks such as Isaac Sim, Isaac Lab, and MuJoCo.

  • Deep comfort in working through the complexities of simulation and real-world robotics, including debugging physics simulators and renderers under rapid development; selecting, setting up, maintaining, and enhancing complex robotics hardware; debugging communication systems; and designing robust workflows for model training and evaluation.

Ways to stand out from the crowd:

  • Prior experience working with product managers and engineering teams to transfer research into products is a significant plus.

  • A history of successfully mentoring junior researchers, engineers, and/or interns.

  • Experience with one or more of the following research areas and applications, which are of particular interest:

    • Bimanual and dexterous manipulation

    • Mobile manipulation and humanoid loco-manipulation

    • Multisensory perception (e.g., vision, tactile, and force/torque sensing)

    • Simulation, sim-to-real, and real-to-sim

    • Vision-language-action (VLA) models, including architectural advancements, large-scale training, and test-time reasoning

    • Industrial applications, such as bin-picking, kitting, and assembly

The Seattle Robotics Lab is now located in a brand-new office in the vibrant Fremont neighborhood of Seattle. Widely considered to be one of the technology world's most desirable employers, NVIDIA has some of the most forward-thinking and hardworking people in the world inventing the future for us. Are you a creative and collaborative researcher interested in seeking new challenges? If so, we want to hear from you! Please join us and be at the forefront of robotics research that will impact both industry and academia!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 192,000 USD - 304,750 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 July 24, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993