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$23K

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$102.5K

How much do manager nvidia robotics jobs pay per year?

As of Sep 14, 2026, the average yearly pay for manager nvidia robotics in the United States is $61,351.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $69,000.00 per year, depending on experience, location, and employer.

What does a manager 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 key skills and qualifications needed to thrive as a manager Nvidia Robotics?

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 are the typical challenges faced by a manager 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 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.

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Manager Nvidia Robotics jobs near you
Infographic showing various Manager Nvidia Robotics job openings in the United States as of September 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $61,351 per year, or $29.5 per hour.

Senior Robotics Systems Engineer - Sim-to-Real

Santa Clara, CA • On-site

Nvidia Corporation
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidia Corporationexternal

$122K - $167K/yr

Full-time

Posted 5 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

We are looking for a senior technical leader to own the engineering loop between physical robots and simulation. You will determine why simulated and real behavior differ, build the systems needed to measure and model that difference, and drive the work until it improves robot performance for our partners and the broader robotics developer community.
This is a hands-on individual-contributor leadership role, not a people-management position. You will set direction, write production software, build and run physical experiments, and lead multi-functional contributors through technical influence rather than formal reporting lines.
What you'll be doing:
  • Own DevTech's sim-to-real and real-to-sim function: experiment design, instrumentation, data capture, system identification, model integration, and validation on hardware.
  • Build production-quality C++ and Python software for measurement, modeling, simulation, benchmarking, and regression testing.
  • Establish quantitative metrics and experiments that isolate the causes of simulation error and show whether a change materially improved the real system.
  • Turn evidence from partner robots into reusable workflows and improvements for NVIDIA's robotics and simulation platforms.
  • Lead contributors across disciplines without formal authority, create clarity, and remain accountable through integration and sustained use.

What we need to see:
  • 12+ years of relevant experience
  • A degree in Mechanical Engineering, Aerospace Engineering, Robotics, Controls, Computer Science, Applied Mathematics, Physics, or a related field-or equivalent experience.
  • A consequential technical project you personally built, led, and maintained. Publicly inspectable work is the strongest evidence; a major closed-source production system also counts when its shipped impact and your contribution can be verified without disclosing confidential information.
  • End-to-end ownership of a hard-tech system in robotics, aerospace, automotive, industrial automation, scientific instrumentation, or a comparable field-from physical measurement and modeling through working software and validated results.
  • Expert C++ and Python software engineering, grounded in first-principles knowledge of dynamics, controls, system identification, numerical methods, applied mathematics, or closely related areas.

Ways to stand out from the crowd:
  • Direct experience characterizing robot actuators, sensors, contact, latency, or control behavior with fit-for-purpose instrumentation.
  • Experience with Isaac Sim, Isaac Lab, Newton, Warp, MuJoCo, Drake, PhysX, ROS/ROS 2, or comparable platforms.
  • Experience turning a successful one-off experiment into a maintained tool, benchmark, model, or workflow used by other engineers.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 13, 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.

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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

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