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Robotics Jobs in California (NOW HIRING)

About Nimble Nimble is an AI robotics company building the autonomous supply chain to power fast, efficient and economical commerce. We're training robot AGI to power a proprietary generalist supply ...

Robot SW Test Engineer

San Francisco, CA · On-site

$150K - $195K/yr

About Nimble Nimble is an AI robotics company building the autonomous supply chain to power fast, efficient and economical commerce. We're training robot AGI to power a proprietary generalist supply ...

About Nimble Nimble is an AI robotics company building the autonomous supply chain to power fast, efficient and economical commerce. We're training robot AGI to power a proprietary generalist supply ...

As Luma's founding Robotics Engineer, you'll bring up commercial robot platforms - humanoids, arms, mobile bases - wire up the sensors and data pipelines our world models need, and run the ...

... robotics and AI programs. In this role, you will remotely operate and supervise robotic systems through advanced control interfaces, helping robots perform real-world tasks safely and efficiently.

... robotics and AI programs. In this role, you will remotely operate and supervise robotic systems through advanced control interfaces, helping robots perform real-world tasks safely and efficiently.

Showing results 41-60

Robotics information

See California salary details

$82.9K

$94.7K

$115K

How much do robotics jobs pay per year?

As of Sep 3, 2026, the average yearly pay for robotics in California is $94,742.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,800.00 and $100,700.00 per year, depending on experience, location, and employer.

What are robotics jobs?

Robotics jobs involve designing, building, programming, testing, and maintaining robots or robotic systems. Professionals in this field may work in industries such as manufacturing, healthcare, automotive, aerospace, and research, focusing on automation and innovative technology solutions. Roles can include robotics engineers, technicians, programmers, and researchers, all working together to improve efficiency, safety, and productivity through robotics. These positions typically require knowledge in areas like mechanical engineering, electronics, computer programming, and artificial intelligence.

What are the qualifications to get a job in robotics?

The qualifications you need to get a job in robotics depend on the position you are interested in. Engineers and designers typically need a bachelor’s or master’s degree in robotics, mechanical or electrical engineering, or computer science, as well as strong programming skills. Some technicians and operators also need to have a bachelor’s degree or extensive training. Good technical and analytical skills are required for work in robotics. The duties of these positions vary significantly, although in many cases job responsibilities overlap. For example, engineers often gather advice and technical knowledge from technicians and operators about how robots function when they design new systems.

How do robotics professionals typically collaborate with other engineering disciplines during a project?

Robotics professionals frequently work in cross-functional teams alongside electrical, mechanical, and software engineers. This collaboration ensures that robotic systems are seamlessly integrated, from hardware design to control algorithms and user interfaces. Effective communication and iterative problem-solving are key, as team members must align on technical requirements, system architecture, and testing protocols. Such teamwork not only enhances project outcomes but also provides valuable opportunities to broaden technical skills and learn from other engineering domains.

What is the difference between Robotics vs Mechanical Engineering?

AspectRoboticsMechanical Engineering
Required CredentialsTypically requires a degree in Robotics, Electrical, or Mechanical Engineering; certifications in automation or control systemsRequires a degree in Mechanical Engineering; professional licensure may be preferred
Work EnvironmentOften involves working with automation systems, programming robots, and integrating hardware/softwareFocuses on designing, analyzing, and manufacturing mechanical systems
Industry UsageUsed in automation, manufacturing, aerospace, and researchApplied across automotive, aerospace, energy, and manufacturing sectors

Robotics and Mechanical Engineering share overlapping skills, especially in design and systems analysis. However, Robotics emphasizes automation, programming, and system integration, while Mechanical Engineering focuses on mechanical design and analysis. Both fields are vital in manufacturing and technology sectors, but Robotics professionals often work more with software and control systems, whereas Mechanical Engineers concentrate on physical components.

Is robotics still a good career?

Robotics is a growing field with increasing demand for engineers and technicians skilled in automation, programming, and systems integration. Careers in robotics often require knowledge of programming languages like Python or C++, and familiarity with hardware and sensors, making it a viable and evolving profession with strong job prospects.

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

The most popular types of Robotics jobs in California are:

What cities in California are hiring for Robotics jobs?

Cities in California with the most Robotics job openings:

Infographic showing various Robotics job openings in California as of August 2026, with employment types broken down into 89% Full Time, 8% Part Time, 2% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $94,742 per year, or $45.5 per hour.

Sr. Robot Learning Engineer -- Planning & Manipulation

Anyware Robotics

Fremont, CA • On-site

Full-time

Re-posted 25 days ago


Job description

Job Summary:
Anyware Robotics builds general-purpose mobile manipulator robots for industrial applications. They are seeking a Sr. Robot Learning Engineer to advance the planning and manipulation capabilities within AnywareOS, contributing to the development and deployment of robotic manipulation systems.
Responsibilities:
• Improve learned policies for robot manipulation that augment and extend our production system's performance envelope
• Contribute to our manipulation capabilities: data collection from deployed robots, physics simulation environments, policy training, and deployment validation
• Use production multimodal data — rich sensor streams from real industrial operations across logistics and manufacturing
• Collaborate with perception and controls engineers to close the loop between scene understanding, navigation, and other capabilities inside AnywareOS
• Ship models to production — your work will run on robots at customer sites across multiple industries, not just on a sim bench
Qualifications:
Required:
• MS/PhD in ML, robotics, or related field (or equivalent industry experience shipping learned robotic behaviors)
• Strong applied ML fundamentals: policy learning (imitation learning, RL, or diffusion policies), neural network architecture design, training infrastructure
• Experience with robot learning for manipulation or motion: grasp synthesis, motion generation, trajectory optimization with learned components, or sim-to-real transfer
• Proficiency in Python and ML frameworks; comfortable with C++ for deployment-critical paths
• Understanding of classical planning (rule-based or optimization-based planning, task-space control)
• Demonstrated ability to go from research idea → working system
Preferred:
• Prior work on force/compliance control or contact-rich manipulation
• Familiarity with ROS2 and real robot deployment pipelines
• Experience with sim-to-real transfer at scale (domain randomization, system identification)
• Background in warehouse/logistics robotics or unstructured environment manipulation
• Publications at RSS, CoRL, ICRA, or NeurIPS robotics workshops
Company:
Anyware Robotics builds general-purpose robots for physically demanding work. Founded in 2023, the company is headquartered in Fremont, USA, with a team of 11-50 employees. The company is currently Early Stage.