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Robotics Programming Salary Jobs in California (NOW HIRING)

Raydar

Head of Robotics Engineering

Fremont, CA · On-site

$200K - $350K/yr

Bring 8+ years of robotics engineering experience, or 5+ years with a PhD, spanning firmware ... Benefits $200K-$350K base salary plus competitive equity. Full-time and on-site five days per week ...

FieldAI

Robotics Autonomy Engineer - Federal

Irvine, CA · On-site

$140K - $160K/yr

We're looking for a Robot Autonomy Engineer to support testing, deployment, and integration of ... Compensation The salary range for this role is $140,000-$160,000. The actual offer for this ...

Raydar

Head of Robotics Engineering

Fremont, CA · On-site

$200K - $350K/yr

Bring 8+ years of robotics engineering experience, or 5+ years with a PhD, spanning firmware ... Benefits $200K-$350K base salary plus competitive equity. Full-time and on-site five days per week ...

Figure

Helix AI Engineer, Robot Learning

San Jose, CA

$200K - $400K/yr

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of ... Passion for building autonomous humanoid robots that operate in the real world The US base salary ...

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All JobsRobotics Programming Salary JobsRobotics Programming Salary Jobs in California

Robotics Programming Salary information

What is the difference between Robotics Programming Salary vs Robotics Software Engineer Salary?

AspectRobotics Programming SalaryRobotics Software Engineer Salary
Required CredentialsTypically requires a degree in robotics, computer science, or related fields; certifications in robotics or programmingRequires a degree in computer science, software engineering, or robotics; often includes certifications in software development
Work EnvironmentHands-on robotics labs, manufacturing plants, research facilitiesSoftware development teams, R&D departments, tech companies
Employer & Industry UsageManufacturing, automation, research institutionsTech companies, automation firms, research labs

Both roles involve programming and robotics knowledge, but Robotics Programming roles focus more on integrating hardware and software in physical systems, while Robotics Software Engineers primarily develop software solutions for robotics applications. Salary differences depend on experience, location, and industry demand.

Is robotics programming a good career?

Robotics programming is a growing field with strong demand for skilled professionals who can develop and maintain robotic systems using programming languages like C++ and Python. It offers opportunities in industries such as manufacturing, healthcare, and automation, often requiring knowledge of control systems and hardware integration. The career typically provides competitive salaries and the potential for advancement as robotics technology evolves.

Is robotics programming a high paying career?

Robotics programming is generally considered a well-paying career, with salaries often above average for technology roles. Factors such as experience, education, and proficiency with programming languages like Python or C++ influence earning potential, and specialized skills in automation and control systems can lead to higher salaries.

What cities in California are hiring for Robotics Programming Salary jobs?

Cities in California with the most Robotics Programming Salary job openings:

Robotics Programming Salary jobs near you

Robotics Autonomy Engineer - Locomotion

FieldAI

Irvine, CA

$70K - $300K/yr

Full-time

Re-posted 7 days ago

Job description


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.

About the Job:
 
Field AI is building the future of autonomy-from rugged terrain to real-world deployment. We're on a mission to develop intelligent, adaptable robotic systems that operate beyond simulation and thrive in unpredictable environments. As our Robotics Autonomy Engineer - Locomotion, you'll lead the development and deployment of state-of-the-art reinforcement learning-based controllers for legged and humanoid robots. You'll be part of a deeply technical team advancing real-world robotic capabilities through cutting-edge research, simulation tools, and field validation.If designing locomotion systems that can navigate complex, dynamic environments excites you, and you want to work where your code hits the ground (literally)-this is your role. This is Field AI.
What You'll Get To Do
 
1. Design and Own RL-Based Locomotion Pipelines
 
  • Architect and implement scalable reinforcement learning (RL) pipelines optimized for locomotion and manipulation.
  • Integrate physics-based simulation environments (Isaac Gym, Isaac Lab, MuJoCo) with custom training workflows.
  • Develop reward functions, policy architectures, and domain randomization strategies that close the sim-to-real gap.
 
2. Deploy Locomotion Behaviors on Physical Robots
 
  • Create agile, robust locomotion behaviors for quadruped and humanoid platforms, and validate them on real hardware.
  • Solve real-world challenges in balance, contact-rich dynamics, high-DOF coordination, and terrain variability.
  • Drive iterative testing across terrain variability and unstructured environments.
 
3. Build and Scale Simulation Infrastructure
 
  • Build scalable training environments using GPU-accelerated simulators. 
  • Automate evaluation across domain-randomized scenarios and domain adaptation protocols.
  • Maintain simulation infrastructure that enables rapid prototyping, validation, and reproducibility.
 
4. Collaborate Across the Full Robotics Stack
 
  • Work closely with systems engineers, perception experts, and embedded teams to close the loop between learning and execution.
  • Incorporate real-world telemetry and field data to continuously improve model generalization.
  • Lead deployment workflows from experiment through lab testing to field robot validation.
What You Have
  • Master's degree or higher in Robotics, Computer Science, Engineering, or related field (PhD strongly preferred).
  • Deep expertise in reinforcement learning for continuous control.
  • 2+ years of experience developing and deploying locomotion policies on real robotic systems (preferred).
  • Hands-on experience with legged robot platforms (quadrupeds, bipedal systems, or exoskeletons).
  • Proficiency with simulation tools such as Isaac Gym, Isaac Lab, MuJoCo, or PyBullet.
  • Strong command of sim-to-real transfer - domain randomization, system identification, adaptive methods, and a track record of bridging the gap successfully.
  • Solid understanding of contact dynamics, control theory, and kinematics.
  • Strong Python and/or C++ development skills in Linux-based development environments.
  • Familiarity with machine learning frameworks (PyTorch, TensorFlow).
  • A passion for building things that move in the real world.
The Extras That Set You Apart
  • 3+ years of experience in an industry or startup robotics setting.
  • Experience deploying neural network controllers on resource-constrained robotic platforms (real-time inference, onboard compute).
  • Publications or open-source contributions in locomotion, RL, or control.
  • Familiarity with ROS/ROS2 or custom middleware for real-time control.
  • Background in manipulation, loco-manipulation, or whole-body coordination.
  • Experience debugging sim-to-real issues at scale.
  • Contributions to reinforcement learning libraries or simulation platforms.
  • Prior work on multi-agent learning or terrain-adaptive control systems.
$70,000 - $300,000 a year
Our salary range is generous and 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. 

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 Mission Viejo (Irvine adjacent), 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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