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Robotics Jobs in California (NOW HIRING)

Sorting Robotics Inc. is on the lookout for a Robotics Technician to join our growing team. In this role, you will work closely with engineers to build, test, and maintain robotic systems used in the ...

Sorting Robotics Inc. is on the lookout for a Robotics Technician to join our growing team. In this role, you will work closely with engineers to build, test, and maintain robotic systems used in the ...

Sorting Robotics Inc. is on the lookout for a Robotics Technician to join our growing team. In this role, you will work closely with engineers to build, test, and maintain robotic systems used in the ...

Sorting Robotics Inc. is on the lookout for a Robotics Technician to join our growing team. In this role, you will work closely with engineers to build, test, and maintain robotic systems used in the ...

Sorting Robotics Inc. is on the lookout for a Robotics Technician to join our growing team. In this role, you will work closely with engineers to build, test, and maintain robotic systems used in the ...

Sorting Robotics Inc. is on the lookout for a Robotics Technician to join our growing team. In this role, you will work closely with engineers to build, test, and maintain robotic systems used in the ...

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Autonomous Robotics Software Engineer (Robotics / Autonomy / C++) Advanced Robotics Group, LLC is seeking highly skilled Autonomous Robotics Software Engineers to join a small, high-performing team ...

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Robotics information

See California salary details

$82.9K

$94.7K

$115K

How much do robotics jobs pay per year?

As of Aug 12, 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.

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.

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.

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 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 1% Internship, 87% Full Time, 6% Part Time, 2% Temporary, 3% 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.

Machine Learning Engineer (Robotics / Embodied AI)

Avatar Robotics

San Francisco, CA • On-site

Full-time

Re-posted yesterday


Job description


Overview
We're hiring a Machine Learning Engineer to lead our progression from teleoperation to autonomy. You'll use cutting-edge Vision-Language-Action (VLA) models and imitation learning to make our teleoperated robots increasingly autonomous over time. This role spans the full ML lifecycle: data capture and organization, model training and evaluation, deployment to edge devices, and continuous improvement based on real-world performance. You'll work at the intersection of robotics, computer vision, and foundation models-turning thousands of hours of human demonstrations into autonomous capabilities.
What we do
Avatar Robotics is building flexible robot fleets to revolutionize industrial work across the country. We're on a mission to make every tedious and dangerous warehouse/factory job virtual, safe, and semi-autonomous.
With proven AI approaches and long distance teleoperation, you'll join a team that deploys a physical work solution that's scalable now, not later. We envision a world where billions of machines make our goods and consumables more affordable and accessible than ever, while critical workers operate these robot fleets from the comfort of their homes.
At Avatar Robotics, you'll create the workforce of the future-in one of the largest markets ($1T+ manual labor market in the US alone).
We're a small but powerful team at the early innings of deploying thousands of units into facilities worldwide.
What you'll do
  • Design and implement data collection pipelines for synchronized sensor streams and task annotations from teleoperated robots.
  • Build data processing systems for cleaning, labeling, and organizing multi-modal data (RGB-D, LiDAR, proprioceptive feedback).
  • Develop and train Vision-Language-Action models, imitation learning policies, and behavior cloning systems.
  • Deploy trained models to edge compute devices with real-time inference constraints.
  • Collaborate with Robotics and Teleop teams to define autonomous capabilities and integrate models into the control stack.
What you bring
  • 3+ years of hands-on ML experience, preferably in robotics, computer vision, or embodied AI.
  • Strong foundation in deep learning frameworks (PyTorch, JAX, TensorFlow) and training large models.
  • Experience with imitation learning, behavior cloning, or reinforcement learning in physical systems.
  • Proficiency with computer vision techniques (object detection, segmentation, point cloud processing).
  • Understanding of robotics fundamentals (kinematics, control theory, sensor fusion).
  • Strong Python skills and experience with ML libraries.
  • Bonus: Experience with Vision-Language-Action models, foundation models, or deploying models to edge devices.
Additional Notes
  • Our team develops on physical robots in person-expect hands-on testing and debugging
  • Need to be located or willing to relocate to San Francisco, CA
  • Opportunity to shape the autonomy roadmap for a rapidly scaling robot fleet

Come join us in building a new global economy, where anyone can do manual work remotely and with robo-scale. Together, we can make goods and resources more affordable and available than they've ever been, for everyone on Earth.