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Robotics Research Engineer Jobs in California (NOW HIRING)

Research Engineer

San Francisco, CA · On-site

$175K - $275K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

As a Research Engineer on our Physical AI team, you will lead pre-training and post-training on ... Background in robotics, embodied AI, or sim-to-real transfer is a plus * Experience with video ...

Robotics Engineer

Sunnyvale, CA · On-site

$60 - $85/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a highly specialized Robotics Engineer to join our team ... This role focuses on the research, evaluation, and strategic application of humanoid robotic ...

Robotics Engineer

Sunnyvale, CA · On-site

$60 - $85/hr

We are seeking a highly specialized Robotics Engineer to join our team ... This role focuses on the research, evaluation, and strategic application of humanoid robotic ...

Robotics Engineer

Sunnyvale, CA

$60 - $85/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a highly specialized Robotics Engineer to join our team ... This role focuses on the research, evaluation, and strategic application of humanoid robotic ...

Partner closely with research and product teams to ensure our models perform effectively at scale * Design, build, and improve critical serving infrastructure to support Robotics growth and ...

D. degree in Computer Science, Robotics, Electrical Engineering or related field. Appropriate research expertise includes electromechanical, intelligent or autonomous systems, distributed systems ...

Showing results 41-60

Robotics Research Engineer information

See California salary details

$28.6K

$104.2K

$166.8K

How much do robotics research engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for robotics research engineer in California is $104,222.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,400.00 and $125,300.00 per year, depending on experience, location, and employer.

What does a robotics research engineer do?

A Robotics Research Engineer designs, develops, and tests robotic systems by integrating hardware and software for automation and intelligent behavior. They conduct research to improve robotic capabilities in areas such as perception, control, and machine learning. Their work involves programming, simulation, and experimentation to enhance robot performance for applications in industries like healthcare, manufacturing, and space exploration.

What are the key skills and qualifications needed to thrive as a robotics research engineer?

To thrive as a Robotics Research Engineer, you need strong knowledge in robotics, control systems, programming (such as C++ or Python), and a relevant degree in engineering or computer science. Experience with simulation tools (like ROS or Gazebo), machine learning frameworks, and sometimes certifications in robotics or AI are valuable assets. Excellent problem-solving abilities, teamwork, and effective technical communication make someone stand out in this position. These skills are essential for innovating, troubleshooting, and successfully collaborating on complex robotic projects.

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

The most popular types of Robotics Research Engineer jobs in California are:

What cities in California are hiring for Robotics Research Engineer jobs?

Cities in California with the most Robotics Research Engineer job openings:

Infographic showing various Robotics Research Engineer job openings in California as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 87% Full Time, 9% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $104,222 per year, or $50.1 per hour.

Senior Research Engineer, Robotics Systems

Nvidia Corporation

Santa Clara, CA • On-site

$122K - $167K/yr

Full-time

Re-posted 4 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies


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.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world. Please join us and be part of the forefront of developing general-purpose robots and large-scale foundation models!
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.
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

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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

Year founded

1993