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Robotics Research Engineer Jobs in California (NOW HIRING)

Position Overview We are hiring Research Engineers to develop scalable robotic systems aimed at achieving general-purpose robotic intelligence. In this role, you'll work with researchers and ...

Research Engineer (VLM / Multimodal AI) 📍 Mountain View, CA I am seeking a Research Engineer to join a venture-backed AI and robotics startup building an AI-powered observability platform for ...

Research Engineer

San Francisco, CA · On-site

$180 - $230/hr

We think the path to capable robots runs through general intelligence rather than narrow, robot ... We're looking for a research engineer to help us train increasingly capable models across enormous ...

We think the path to capable robots runs through general intelligence rather than narrow, robot ... We're looking for a research engineer to help us train increasingly capable models across enormous ...

Research Engineer

San Francisco, CA · On-site

$100K - $200K/yr

Today, our data is used for robotics and world modeling, but the broader opportunity is advancing ... The Opportunity As a Research Engineer, you'll work on multimodal sensing systems and sensor fusion ...

Showing results 21-40

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 Sep 7, 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 are popular job titles related to Robotics Research Engineer jobs in California?

For Robotics Research Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Robotics Research Engineer jobs in California look for?

The top searched job categories for 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, 82% Full Time, 13% Part Time, 1% Temporary, 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.

Research Engineer / Research Scientist, Robotics and Physical AI

Clera

San Francisco, CA • On-site

$100 - $300/hr

Other

Posted 3 days ago

New


Job description

About the Role

This is a hands-on research and engineering role at a small, early-stage AI company focused on generating high-quality, verifier-grounded training data for robotics and frontier AI models. You will work across the full stack, from learning algorithms and simulation to real hardware, helping push robot capabilities from synthetic environments into reliable real-world deployment.

What You'll Do
  • Develop learning systems for robots, including policies, world models, and vision-language-action models.

  • Build and maintain simulation environments and evaluation frameworks for robotic tasks.

  • Apply and advance computer vision and perception algorithms for autonomous robots.

  • Build pipelines connecting simulation and real-world robot deployment, covering both real-to-sim and sim-to-real workflows.

  • Work with robot hardware, sensors, actuators, and embedded systems to prototype and test capabilities.

  • Train and evaluate reinforcement-learning and imitation-learning systems for manipulation, locomotion, or mobile platforms.

  • Integrate robot platforms to validate algorithms in the physical world.

  • Create tools and infrastructure that accelerate robotics research and development.

  • Collaborate with external robotics companies and research labs on technical problems.

What We're Looking For
  • Open to all experience levels, including new graduates and seasoned researchers or engineers.

  • Strong software skills in C++ and Python.

  • Practical experience with deep learning, reinforcement learning, and computer vision.

  • Experience developing and maintaining robotics simulation environments and evaluation frameworks (e.g., Isaac Lab, MuJoCo, MJX, Genesis).

  • Experience training and evaluating RL and imitation-learning systems for manipulation, locomotion, or mobile platforms.

  • Hands-on experience with robot hardware, sensors, actuators, CAD or Blender, and embedded systems.

  • Familiarity with modern ML tools such as LLMs, Transformers, multimodal AI, diffusion models, or AI agents is a plus.

  • Comfortable moving fluidly between research, engineering, experimentation, and product development in a small team.

  • US work authorization required; visa sponsorship is not available.

Compensation & Benefits

Salary range: $100,000 to $300,000 USD annually, depending on experience. Equity participation is expected at this stage. Visa sponsorship is not available.

Location

On-site in San Francisco, California, United States. This role is not eligible for remote work.

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