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Manager Nvidia Robotics information

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.

What are the most commonly searched types of Nvidia Robotics jobs in California?

The most popular types of Nvidia Robotics jobs in California are:

What are popular job titles related to Manager Nvidia Robotics jobs in California?

For Manager Nvidia Robotics jobs in California, the most frequently searched job titles are:

What job categories do people searching Manager Nvidia Robotics jobs in California look for?

The top searched job categories for Manager Nvidia Robotics jobs in California are:

What cities in California are hiring for Manager Nvidia Robotics jobs?

Cities in California with the most Manager Nvidia Robotics job openings:

Manager Nvidia Robotics jobs near you
Infographic showing various Manager Nvidia Robotics job openings in California as of August 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.

Senior Technical Program Manager - Robotics

Santa Clara, CA • Hybrid

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

7th of 246 rated software companies

Great coworkers

People enjoy working here

Good employer

Learn more about Nvidiaexternal

Full-time

Re-posted 2 hours ago

Job description

We are in the midst of a revolution where artificial intelligence is helping us accelerate all aspects of our lives. NVIDIA's mission is to accelerate this revolution. By combining NVIDIA's strengths in simulation (Omniverse), world models (Cosmos), foundation models (GR00T), and compute, we strive to bring general intelligence to robots!

We're seeking a creative and experienced Technical Program Manager to drive NVIDIA's Robotics initiatives-spanning foundation models, simulation-to-real workflows, and edge deployment pipelines. You'll own program execution across research, engineering, and product teams to ship robotics solutions at scale. This role is based in Santa Clara, CA and requires on-site work at least 2 days a week.

What you'll be doing:

  • Own end-to-end program execution for robotics software initiatives: requirements, schedules, risk mitigation, and releases.

  • Coordinate cross-functional workstreams across product, simulation, model training, deployment, on-robot validation and more.

  • Provide independent technical perspective - challenging assumptions, identifying architectural risks, and grounding decisions in sound engineering principles.

  • Drive process improvements to the product lifecycle (PLC), lead release planning.

  • Facilitate technical reviews, triage blockers, and communicate status to stakeholders and leadership.

  • Identify and handle multi-functional dependencies and risks proactively.

What we need to see:

  • BS or MS in Computer Science, Robotics, AI, or related field (or equivalent experience).

  • 8+ years in Technical Program Management delivering software products.

  • Hands-on robotics experience in one or more: robot learning, simulation-based development (synthetic data, domain randomization), model deployment to edge/robot platforms, robot evaluation/benchmarking, or sensor integration.

  • Strong grasp of foundational concepts in software development and Agile methodologies.

  • Proven success managing complex, multi-team programs with competing priorities.

  • Technical depth sufficient to evaluate engineering proposals, ask probing questions, and offer informed feedback-not just track schedules.

  • Ability to think long-term and build consensus to make programs successful.

Ways to Stand Out From The Crowd:

  • Prior software development or robotics engineering role.

  • Direct experience with Isaac Sim, Isaac ROS, Omniverse, or equivalent simulation/SDK tools.

  • Familiarity with ML training pipelines, reinforcement learning, or imitation learning workflows.

  • Background in autonomous vehicles, manipulation, or mobile robotics platforms.

  • Experience navigating hardware/software co-development cycles.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 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.

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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