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Moveit Jobs in California (NOW HIRING)

Divergent

Industrial Robotics Engineer

Torrance, CA · On-site

Experience with open-source robotic planning and manipulation software packages such as MoveIt and ROS. * Knowledge of unit-testing, CI/CD pipelines, and containerization (Docker, Kubernetes)

Divergent

Real-Time Systems Engineer

Torrance, CA · On-site

Experience with open source robotic planning and manipulation software packages such as MoveIt and ROS. * Knowledge of unit-testing, CI/CD pipelines, and containerization (Docker, Kubernetes)

Divergent

Real-Time Systems Engineer

Torrance, CA · On-site

Experience with open source robotic planning and manipulation software packages such as MoveIt and ROS. * Knowledge of unit-testing, CI/CD pipelines, and containerization (Docker, Kubernetes)

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Moveit information

See California salary details

$8

$25

$60

How much do moveit jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for moveit in California is $25.79, according to ZipRecruiter salary data. Most workers in this role earn between $14.83 and $30.13 per hour, depending on experience, location, and employer.

What is a Moveit?

A Moveit job typically refers to work related to MoveIt, an open-source motion planning framework for robotic arms. It involves developing, configuring, and optimizing robotic motion planning using ROS (Robot Operating System). Professionals in this role often work on tasks like path planning, collision avoidance, and integrating robotic systems with sensors. MoveIt jobs are common in industries such as automation, manufacturing, and research.

What is a typical workday like for a Moveit?

A typical day for a Moveit mover often starts at the warehouse or office, where you’ll receive your assignment and review the moving plan as a team. You’ll load and unload items, ensure proper packing and protection of belongings, and occasionally assemble or disassemble furniture. Movers frequently work on-site at various residential or commercial locations, interacting directly with customers and collaborating closely with teammates. The pace can be fast and physically demanding, but the work environment is supportive and dynamic, with clear roles and open communication. Many movers find the variety and teamwork rewarding, making each day different and engaging.

What are the key skills and qualifications needed to thrive in the Moveit position, and why are they important?

To thrive as a Moveit mover, you need strong physical stamina, attention to detail, and experience with safe lifting techniques, often supported by a valid driver’s license. Familiarity with hand trucks, dollies, moving straps, and basic inventory or scheduling apps is valuable in this role. Excellent teamwork, customer service orientation, and problem-solving skills help movers handle challenges and interact positively with clients. These skills ensure moves are completed efficiently, safely, and to the satisfaction of customers.

What are popular job titles related to Moveit jobs in California? For Moveit jobs in California, the most frequently searched job titles are:
What job categories do people searching Moveit jobs in California look for? The top searched job categories for Moveit jobs in California are:
Moveit jobs near you
Infographic showing various Moveit job openings in California as of August 2026, with employment types broken down into 63% Full Time, 5% Part Time, 5% Temporary, and 27% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $53,653 per year, or $25.8 per hour.

Robotics Autonomy Engineer-Planning and Control-Federal

FieldAI

Irvine, CA • On-site, Remote

$70K - $300K/yr

Full-time

Re-posted 29 days ago

Job description

Who are We?

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.

Learn more at https://fieldai.com.

About the Job

Field AI is building the future of autonomy, from rugged terrain to real-world deployment. We are on a mission to develop intelligent, adaptable robotic systems that operate beyond simulation and thrive in unpredictable environments. 

As our Robotics Autonomy Engineer - Planning and Control, you will design, implement, and deploy advanced motion planning and control algorithms that enable our robots to move with precision, robustness, and efficiency across diverse environments. You will work on navigation, trajectory generation, and motion control for robotic platforms ranging from wheeled and legged systems to complex humanoid architectures. If enabling robots to navigate challenging, dynamic environments excites you, and you want to work where your code works in the physical world - this is your role. This is Field AI.

What You'll Get To Do

1. Develop Robust Motion Planning Algorithms

  • Design, develop, and refine motion and navigation planning algorithms for challenging real-world scenarios such as narrow passages, dynamic obstacles, and complex environments.

  • Design optimization-driven approaches for path and trajectory generation that ensure smooth, reliable, and efficient robot navigation across modalities.

  • Ensure scalability, reusability, and adaptability of planning approaches across diverse deployment contexts.

2. Advance Control and Planning Integration

  • Develop and tune control algorithms that ensure precise trajectory tracking and stable operation across different robotic systems.

  • Collaborate across autonomy layers to ensure seamless coordination between perception, planning, and control for robust real-world performance.

3. Validate and Test Across the Stack

  • Build and maintain testing pipelines from unit-level validation to full robot deployment.

  • Utilize simulation and testing environments for algorithm evaluation, benchmarking, and regression validation.

  • Analyze real-world telemetry to diagnose issues, identify improvements, and enhance algorithm robustness.

4. Diagnose and Improve Field Performance

  • Investigate and resolve issues arising from field deployments through structured data analysis and debugging.

  • Deliver targeted improvements that address specific challenges while maintaining general-case reliability and performance.

What You Have

  • Master's degree or higher in Robotics, Computer Science, Mechanical/Electrical Engineering, or a related field (PhD a plus).

  • Strong understanding of motion planning, trajectory generation, and control systems.

  • Experience developing algorithms for one or more robotic systems (wheeled, legged, wheeled-legged, humanoid).

  • Familiarity with motion planning libraries like OMPL, MoveIt, Nav2 stack etc

  • Solid programming skills in C++ and Python on Linux-based systems.

  • Familiarity with robotics middleware such as ROS/ROS 2.

  • Experience with robot sensors including LiDARs, stereo/depth cameras, IMUs, GPS, wheel encoders.

  • Ability to work on US government project

The Extras That Set You Apart

  • Exposure to real-world deployment of autonomous systems.

  • Background in optimization, control, or numerical methods for trajectory planning.

  • Familiarity with learning-based or hybrid planning approaches.

  • Contributions to open-source planning or control frameworks.

  • Familiarity with safety-critical autonomy and industrial robotics use cases.

$70,000 - $300,000 a year
This position is for our FieldAI Federal Team.  This team works on projects connected to the U.S. government which requires U.S. Person eligibility.  A U.S. Person as defined by 22 C.F.R  120.62 includes U.S. Citizen, U.S. National, lawful permanent residents (green card holders) refugee or asylee. 
 
Compensation and Benefits
Our salary range is between ($70,000 - $300,000 annual), but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience.  Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.
 
Why Join Field AI?
We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.
 
You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.
 
Be Part of the Next Robotics Revolution
To tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.
 
We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. 
 
Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!
 
We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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