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Robotics Research Engineer Jobs in California (NOW HIRING)

Human Archive

Research Engineer

San Francisco, CA · On-site

$100 - $140/hr

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 ...

Agility Robotics

Staff AI Research Engineer

Fremont, CA · On-site

$216K - $338K/yr

Mentor and guide junior AI research engineers through project design, experiment execution, and ... Drive alignment across AI Research and Robotics teams on methods, evaluation, and deployment ...

Matic Robots

Senior Research Engineer

Mountain View, CA · On-site

$124K - $170K/yr

Matic Robots is on a mission to revolutionize home robotics, focusing on creating intelligent cleaning solutions. The Senior Research Engineer will lead perception research initiatives and develop ...

Matic Robots

Senior Research Engineer

Mountain View, CA · On-site

$124K - $170K/yr

Matic Robots is on a mission to revolutionize home robotics with their innovative products. They are seeking a Senior Research Engineer to lead perception research and advance their autonomous ...

LTA Research

Robotics Engineer

Sunnyvale, CA · On-site

$171.92/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 ...

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All JobsRobotics Research Engineer JobsRobotics Research Engineer Jobs in California

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:

Robotics Research Engineer jobs near you
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

Human Archive

San Francisco, CA • On-site

$100 - $140/hr

Other

Re-posted 17 days ago

Job description

About Human Archive

Human Archive is a research lab backed by Y Combinator focused on modeling human embodied intelligence.

Humans are the most sophisticated biological systems we have ever observed, yet we still do not fully understand ourselves. Research into human physical intelligence — including the human hand, proprioception, and vision — remains largely unsolved. Our mission is to recover human embodied intelligence as a learned model. To achieve this, we build custom hardware products, deploy them globally at scale, and publish research. Today, our data is used for robotics and world modeling, but the broader opportunity is advancing scientific research into intelligence itself.

Founded by Stanford and UC Berkeley researchers, we are lean, deeply technical, and operate at extreme speed, taking on unglamorous and conventionally impossible problems that directly unlock step-function gains in model capability.

The deployment of capable humanoids at scale will permanently redefine human labor. Undesirable physical work will disappear, and human effort will shift toward a new era of abundant creativity.

We are building the infrastructure to accelerate that transition by assembling the Human Archive mafia. You will own meaningful systems from day one and see your work directly impact model capabilities. This is a once-in-a-generation inflection point. If you want to help reshape physical labor and work on problems that matter at civilizational scale, join us.


The Opportunity

As a Research Engineer, you’ll work on multimodal sensing systems and sensor fusion research for embodied AI and robotics. This role sits at the intersection of robotics, perception, hardware systems, and machine learning, where your work directly shapes how multimodal data is collected, synchronized, fused, and used for downstream VLA training.

You’ll research emerging sensing technologies across RGB-D video, motion capture, IMUs, tactile sensing, audio, and wearable systems, and study how different sensor combinations impact robot learning, policy performance, and generalization. You’ll work closely with hardware, ML, and research teams to design experiments, evaluate new sensing stacks, and help define the next generation of multimodal robotics datasets.

Your work will help shape how frontier labs and leading robotics companies train their models, transforming physical labor markets and economies while contributing to broader research into human embodied intelligence.

What You’ll Do

  • Evaluate how different sensor modalities impact VLA training and downstream robotics performance

  • Work across RGB-D video, IMUs, motion capture, tactile sensing, audio, and wearable systems data

  • Design experiments around synchronization, calibration, fusion, and multimodal alignment

  • Prototype quickly and iterate from real-world robotics deployments and research feedback

  • Collaborate closely with hardware, ML, and research teams on next-generation sensing systems

What We’re Looking For

  • Master’s or PhD in robotics, computer vision, sensing systems, or related fields

  • Published research in sensor fusion, perception systems, multimodal datasets, or embodied AI

  • Strong technical intuition around hardware systems and robot learning

  • Experience with RGB-D video, IMUs, motion capture, tactile sensing, or robotics systems

  • Experience with reinforcement learning, real-world robot deployments, and how data impacts downstream policy performance

  • Highly curious, execution-oriented, and comfortable operating from first principles

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