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Mobile Robotics Engineer Jobs in California (NOW HIRING)

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 ...

As a Robotics Algorithm Engineer focused on Humanoid Whole-Body Control , you will work across VLA ... Build visuomotor policies for locomotion, navigation, mobile manipulation, and whole-body tasks

As a Robotics Algorithm Engineer focused on Humanoid Whole-Body Control , you will work across VLA ... Build visuomotor policies for locomotion, navigation, mobile manipulation, and whole-body tasks

Robotics Test Engineer

Pasadena, CA · On-site

$95 - $135/hr

OffWorld is a robotics startup working on developing a mobile robotic workforce for heavy industrial jobs on Earth, Moon, asteroids & Mars. OffWorld was founded by an experienced engineering team ...

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Mobile Robotics Engineer information

See California salary details

$10

$59

$92

How much do mobile robotics engineer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for mobile robotics engineer in California is $59.35, according to ZipRecruiter salary data. Most workers in this role earn between $45.10 and $77.36 per hour, depending on experience, location, and employer.

What is the difference between Mobile Robotics Engineer vs Robotics Software Engineer?

AspectMobile Robotics EngineerRobotics Software Engineer
Required CredentialsBachelor's or higher in Robotics, Mechanical, or Electrical Engineering; experience with embedded systemsBachelor's or higher in Computer Science, Robotics, or related; programming skills in C++, Python
Work EnvironmentDesigning and testing mobile robots in labs or field environmentsDeveloping software algorithms for robots, often in office or lab settings
Employer & Industry UsageRobotics companies, manufacturing, research labsRobotics firms, tech companies, research institutions

While both roles involve robotics, Mobile Robotics Engineers focus on integrating hardware and navigation for mobile platforms, whereas Robotics Software Engineers primarily develop software algorithms for robotic systems. The roles often overlap but differ in hardware involvement and focus areas.

Is there a demand for mobile robotics engineers?

There is strong demand for mobile robotics engineers due to the growth of automation, autonomous vehicles, and industrial robotics. Companies seek professionals skilled in robotics design, programming, and sensor integration to develop and maintain mobile robotic systems across various industries.

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

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

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

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

Lab Automation - Robotics Engineer

Xaira Therapeutics

South San Francisco, CA • On-site

Full-time

Posted 19 days ago


Key responsibilities

  • Build, integrate, and maintain robotics software for robotic arms, mobile robots, sensors, grippers, and laboratory automation devices.

  • Develop motion planning, manipulation, perception, and safety logic for robotic systems operating in real laboratory environments.

  • Collaborate with scientists to translate biological and chemical workflows into automated protocols.


Job description

About the Role

We are building a next-generation lab automation and robotics platform to transform how biological experiments are executed, monitored, and scaled. This platform will bring together robotic arms, mobile platforms, lab instruments, sensors, computer vision, workflow orchestration, and AI-enabled autonomy to increase the speed, reliability, reproducibility, and scale of experimental biology.

As a Robotics Engineer, Lab Automation, you will help turn real scientific workflows into robust automated systems. You will work closely with biologists, chemists, automation engineers, software engineers, and robotics experts to understand manual laboratory processes and translate them into reliable robotic execution.

This is a hands-on engineering role for someone who enjoys building, integrating, testing, and debugging physical systems. You will contribute to robotic manipulation, instrument integration, perception, task execution, simulation, and multi-station lab automation workflows. You will also have opportunities to grow into more advanced robotics, autonomy, and AI-enabled laboratory automation over time.

What You'll Do

  • Build, integrate, and maintain robotics software for robotic arms, mobile robots, sensors, grippers, and laboratory automation devices.
  • Develop motion planning, manipulation, perception, and safety logic for robotic systems operating in real laboratory environments.
  • Integrate laboratory instruments and devices through APIs, IoT interfaces, schedulers, and custom control software.
  • Help build task execution frameworks using state machines, behavior trees, planners, and recovery logic for autonomous or semi-autonomous lab workflows.
  • Benchmark and integrate computer vision methods for object detection, segmentation, tracking, pose estimation, localization, and scene understanding.
  • Create and use simulation or digital twin environments for motion validation, workflow testing, synthetic data generation, and system debugging.
  • Collaborate with scientists to translate biological and chemical workflows into automated protocols.
  • Support multi-station system integration, automated material handling, sample tracking, validation, logging, and error recovery.
  • Work hands-on with physical hardware to debug real systems, improve reliability, and iterate quickly.
  • Evaluate modern AI, autonomy, foundation-model, reinforcement-learning, or imitation-learning approaches where they can improve real robotic lab execution.

Qualifications (Required):

  • Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or related field. 
  • Recent graduates with strong robotics, automation, hardware/software integration, or relevant project experience are encouraged to apply.
  • PhD candidates are welcome to apply, particularly if they are excited by hands-on robotic system building, integration, and lab automation.
  • Strong software engineering skills in one or more modern programming languages (e.g., Python, C++, C#), cloud-based workflows, and production software systems.
  • Familiarity with robotics software frameworks such as ROS2, MoveIt, or comparable tools.
  • Familiarity with computer vision, perception, motion planning, robotic manipulation, or sensor integration.
  • Comfort working with physical hardware, debugging real systems, and learning by doing.
  • Strong problem-solving skills, attention to detail, and ability to work across disciplines.
  • Ability to communicate clearly with scientists, automation engineers, software engineers, and robotics experts.

Preferred Qualifications:

  • Experience with 6-axis robotic arms, autonomous mobile robots, grippers, machine vision systems, or automated material handling.
  • Experience with OpenCV, object detection, segmentation, tracking, pose estimation, SLAM, localization, or scene understanding.
  • Experience with Foxglove, Isaac Sim, MuJoCo, Gazebo, or other robotics simulation and debugging tools.
  • Experience integrating laboratory instruments such as liquid handlers, plate hotels, incubators, readers, and microscopes.
  • Experience with agentic AI frameworks (LangGraph, OpenAI Agents SDK, AutoGen, PydanticAI), Model Context Protocol (MCP), or AI systems that integrate language models with external tools and software.
  • Familiarity with biological or chemical assays such as PCR, gel electrophoresis, DNA quantification, microscopy, high-throughput screening, or cell-based assays.
  • Experience with CAD, 3D printing, laser cutting, CNC machining, or rapid prototyping.
  • Exposure to GPU-accelerated inference (CUDA, TensorRT, ONNX), edge deployment, foundation models, reinforcement learning, imitation learning, behavior trees, autonomous task planning, or agentic robotics systems.

What We Offer:

  • The opportunity to help build a state-of-the-art automated biology laboratory from the ground up.
  • Hands-on experience developing robotic systems for high-throughput, data-generating biological labs.
  • Exposure to robotics, lab automation, data infrastructure, and AI-enabled experimental systems.
  • Structured mentorship from experienced robotics, automation, software, and scientific leaders.
  • The opportunity to work with a passionate, interdisciplinary team on ambitious drug discovery projects.
  • A dynamic, innovative, and supportive work environment.
  • Professional growth and development opportunities in a rapidly growing company.

Compensation
We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $150,000 - $180,000 annually; however, the base pay offered will vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.