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Remote Robotics Jobs in Long Beach, CA (NOW HIRING)

JLL

Director, Technology Product Management

Los Angeles, CA · Remote

$251K - $262K/yr

The technology surface spans IoT sensing, remote monitoring, data center facility management (DCFM) platforms, and robotics/automation. You will not be expected to build or manage these technologies ...

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

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 ...

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

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 ...

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Remote Robotics information

See Long Beach, CA salary details

$88.3K

$100.9K

$122.5K

How much do remote robotics jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote robotics in Long Beach, CA is $100,941.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,600.00 and $107,200.00 per year, depending on experience, location, and employer.

What is a remote robotics job?

A Remote Robotics job involves designing, programming, monitoring, or maintaining robotic systems from a remote location. This can include teleoperating robots, developing automation software, or troubleshooting robotic hardware via cloud-based platforms. Remote robotics professionals work in industries such as manufacturing, healthcare, aerospace, and logistics. These roles often require expertise in robotics engineering, programming, and network communications. Advances in AI and IoT have made remote robotics more accessible and crucial for automation and efficiency.

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

To thrive in Remote Robotics, you need a strong foundation in robotics engineering, computer programming (especially Python, C++, or ROS), and experience with remote system monitoring and troubleshooting. Familiarity with teleoperation platforms, cloud-based control systems, and remote diagnostics tools is essential, with relevant certifications such as CSWA or ROS Developer often preferred. Excellent problem-solving skills, attention to detail, and effective communication are valuable soft skills for collaborating across distributed teams. These skills ensure you can efficiently design, monitor, and maintain robotic systems from a distance while collaborating with colleagues and clients in dynamic environments.

What are some typical challenges faced by professionals in remote robotics roles?

One of the most common challenges in Remote Robotics is troubleshooting hardware and software issues without direct, on-site access, which requires strong analytical and remote diagnostic skills. Professionals in this field often navigate time zone differences and coordinate closely with local technical staff or end users to resolve issues quickly. Effective communication and clear documentation become critical to ensure remote instructions are followed accurately. Additionally, staying up-to-date with evolving technologies and security protocols is essential for maintaining optimal system performance and data safety.

What are the most commonly searched types of Robotics jobs in Long Beach, CA?

The most popular types of Robotics jobs in Long Beach, CA are:

What job categories do people searching Remote Robotics jobs in Long Beach, CA look for?

The top searched job categories for Remote Robotics jobs in Long Beach, CA are:

What cities near Long Beach, CA are hiring for Remote Robotics jobs?

Cities near Long Beach, CA with the most Remote Robotics job openings:

Remote Robotics jobs near you
Infographic showing various Remote Robotics job openings in Long Beach, CA as of August 2026, with employment types broken down into 1% Internship, 84% Full Time, 10% Part Time, 4% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $100,941 per year, or $48.5 per hour.

Robotics Autonomy Engineer-Planning and Control-Federal

FieldAI

Irvine, CA • On-site, Remote

$70K - $300K/yr

Full-time

Re-posted 13 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.

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.