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Robotics Coordinator Jobs in California (NOW HIRING)

TSMG

Robot Teleoperator (AI & Robotics)

Milpitas, CA

This position is ideal for candidates with strong attention to detail, excellent hand-eye coordination, and the ability to remain focused in fast-paced operational environments. What You'll Do Robot ...

TSMG

Robot Teleoperator (AI & Robotics)

San Jose, CA

This position is ideal for candidates with strong attention to detail, excellent hand-eye coordination, and the ability to remain focused in fast-paced operational environments. What You'll Do Robot ...

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Robotics Coordinator information

What does a robotics coordinator do?

A Robotics Coordinator oversees the planning, implementation, and maintenance of robotic systems within an organization. They work with engineers, technicians, and other stakeholders to ensure robots operate efficiently and meet project goals. Responsibilities may include programming, troubleshooting, training staff, and optimizing workflows. The role requires technical expertise, problem-solving skills, and the ability to manage multiple tasks.

What are the key skills and qualifications needed to thrive as a robotics coordinator?

To thrive as a Robotics Coordinator, you need a solid understanding of robotics systems, project management, and engineering principles, often supported by a degree in engineering or a related field. Familiarity with robotics software platforms (such as ROS), basic programming languages, and certification in project management are commonly required. Excellent organizational, problem-solving, and interpersonal skills help coordinate teams and ensure smooth project execution. These skills are crucial for successfully overseeing robotics projects, managing cross-functional teams, and delivering effective automation solutions.

What are some typical daily responsibilities of a robotics coordinator?

As a Robotics Coordinator, your daily tasks often include scheduling and overseeing the installation, maintenance, and troubleshooting of robotic systems. You will coordinate with engineers, technicians, and other departments to ensure project milestones are met and documentation is up to date. Your role may also involve training team members on new technology, monitoring system performance, and assisting in process improvements. This position offers a dynamic work environment, blending technical hands-on work with project management and team collaboration.

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

The most popular types of Robotics jobs in California are:

What are popular job titles related to Robotics Coordinator jobs in California?

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

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

The top searched job categories for Robotics Coordinator jobs in California are:

What cities in California are hiring for Robotics Coordinator jobs?

Cities in California with the most Robotics Coordinator job openings:

Robotics Coordinator jobs near you
Infographic showing various Robotics Coordinator job openings in California as of August 2026, with employment types broken down into 72% Full Time, 12% Part Time, 4% Temporary, and 12% Contract. Highlights an 96% In-person, and 4% Remote job distribution.

Robot Autonomy Engineer

Maven Robotics

San Francisco, CA

Full-time

Posted 4 days ago

Job description

Role Description

We are looking to recruit an exceptional Robot Autonomy Engineer to build the decision-making stack that turns a goal into coordinated, reliable robot behavior in real industrial applications - what the robot should do next, in what order, and how a fleet of them shares a workspace without getting in each other's way.

In this role you will:

  • Own the autonomy stack above the controller - task planning, behavior planning, path planning and trajectory planning - from the moment work arrives to the trajectories handed off to motion control.
  • Design the behavior architectures that structure long-horizon manipulation and navigation tasks, and that degrade into retry, recovery and operator handoff rather than into a stall.
  • Bring principled task planning to industrial workflows: goal and precedence reasoning, task allocation, and planning under uncertainty.
  • Plan and coordinate motion for multiple robots sharing an industrial facility - separation, reservation, deconfliction and deadlock-free repositioning - so that adding a robot adds throughput.
  • Integrate LLM and VLM reasoning into planning for task decomposition, subtask grounding and language-conditioned goals, together with the verification and fallbacks that make a model's output safe to execute on real hardware.
  • Define the contract between learned policies and classical planning: what the model may decide, what the planner must guarantee, and how the two hand off mid-task.
  • Interface with perception, intelligence, controls, simulation and platform software in designing functional architectures that hold up under real-world operation.
  • Hold the whole stack to measurable field performance - cycle time, success rate, intervention rate - through simulation, replay of recorded robot logs, and testing on real robots.
Qualifications

Must-have:

  • MS or PhD in robotics, engineering, mathematics, computer science or a related discipline.
  • Real-world experience in classical motion planning for one or more robots - search-based, sampling-based or optimization-based (A*, RRT/PRM, trajectory optimization, model predictive control) - carried onto hardware rather than left in simulation.
  • Real-world experience in behavior planning: finite state machines, behavior trees or comparable behavior architectures for long-horizon tasks, including failure detection and recovery.
  • Familiarity with task planning in the classical AI planning sense (STRIPS, PDDL, HTN) or decision-theoretic planning (MDP, POMDP), and the judgment to know when that machinery earns its complexity against a simpler reactive design.
  • Proficiency in Python and C++ programming, using up-to-date software development practices and tooling.
  • Self-starter attitude with strong ability to identify problems, prioritize them, then plan and execute working solutions.
  • Enthusiasm for working in a fast paced startup environment and eagerness to support the team on a variety of topics.

Nice-to-have:

  • Practical experience fine-tuning and integrating LLMs or VLMs for task planning, including grounding model output in executable, verifiable plans.
  • Multi-robot coordination at fleet scale: task allocation and assignment, traffic management, deconfliction, multi-agent path finding.
  • Experience with mobile manipulation - coordinating a mobile base and one or more arms toward a single task.
  • Familiarity with ROS 2, and with fleet interface standards such as VDA5050.
  • Familiarity with planning and kinematics libraries such as Drake, OMPL or MoveIt.
  • Experience evaluating planners in simulation and against replayed field logs, and the regression testing that keeps a planner honest as it changes.
  • A track record of carrying autonomy from working demo to sustained field operation.
  • Familiarity with functional safety (FuSa) concepts.

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