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Python Robotics Jobs in Lake Elsinore, CA (NOW HIRING)

FieldAI

Robotics Autonomy Engineer - Federal

Irvine, CA · On-site

$140K - $160K/yr

Proficiency in Python, C++, Git, ROS. * Familiarity with Linux-based systems, containerization, and ... Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a team as ...

FieldAI

Robotics Autonomy Engineer - Federal

Irvine, CA

$140K - $160K/yr

Proficiency in Python, C++, Git, ROS. * Familiarity with Linux-based systems, containerization, and ... Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a team as ...

FieldAI

Robotics Autonomy Engineer - Federal

Irvine, CA · On-site

$140K - $160K/yr

Proficiency in Python, C++, Git, ROS. * Familiarity with Linux-based systems, containerization, and ... Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a team as ...

FieldAI

Robot Autonomy Engineer-Federal

Irvine, CA

$70K - $120K/yr

... Robotics industry. * Experience in field deployment of complex technical systems. * Proficiency in Python, C++, Git, ROS. * Familiarity with Linux-based systems, containerization, and cloud ...

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All JobsPython Robotics JobsPython Robotics Jobs in Lake Elsinore, CA

Python Robotics information

See Lake Elsinore, CA salary details

$12

$56

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How much do python robotics jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for python robotics in Lake Elsinore, CA is $56.96, according to ZipRecruiter salary data. Most workers in this role earn between $46.92 and $64.71 per hour, depending on experience, location, and employer.

What is a Python Robotics job?

Python Robotics jobs involve designing, developing, and programming robotic systems using the Python programming language. Professionals in this field use Python to control robots, process sensor data, automate tasks, and integrate with hardware and software systems. These roles may be found in industries like manufacturing, healthcare, research, and autonomous vehicles. Typical responsibilities include writing code for robotic behavior, working with frameworks like ROS (Robot Operating System), and collaborating with engineers to build intelligent machines.

How do Python Robotics engineers typically collaborate with interdisciplinary teams during a project?

Python Robotics engineers often work closely with mechanical, electrical, and systems engineers to develop and integrate robotic solutions. They are responsible for writing and testing control algorithms in Python, as well as interfacing with hardware and simulation tools. Regular communication and joint problem-solving sessions are common, ensuring that software aligns with hardware capabilities and project requirements. This collaborative environment helps deliver robust, efficient robotic systems and offers exposure to various engineering domains.

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

AspectPython RoboticsRobotics Software Engineer
Required CredentialsPython programming skills, robotics knowledge, possibly certifications in Python or roboticsProficiency in robotics software, programming skills (Python, C++), engineering degree often preferred
Work EnvironmentResearch labs, robotics companies, startups, often hands-on with hardware and softwareDevelopment teams, engineering departments, focus on software development for robotic systems
Industry UsageUsed in robotics research, automation projects, and hobbyist communitiesApplied in industrial automation, autonomous vehicles, and advanced robotics projects

Python Robotics typically refers to using Python programming in robotics applications, often in research or hobbyist settings. Robotics Software Engineers focus on developing and maintaining complex software systems for robotic hardware in professional environments. While both roles require programming skills and robotics knowledge, Python Robotics emphasizes scripting and experimentation, whereas Robotics Software Engineers work on scalable, production-level software solutions.

What are the key skills and qualifications needed to thrive as a Python Robotics engineer?

To thrive as a Python Robotics Engineer, you need strong programming skills in Python, a solid understanding of robotics concepts, and often a degree in robotics, computer science, or engineering. Familiarity with robotics frameworks like ROS (Robot Operating System), simulation tools such as Gazebo, and experience with hardware integration are commonly required. Problem-solving, adaptability, and effective teamwork are essential soft skills that help address complex technical challenges and collaborate with interdisciplinary teams. These competencies enable the design, implementation, and optimization of robust robotic systems in a rapidly evolving field.

What cities near Lake Elsinore, CA are hiring for Python Robotics jobs?

Cities near Lake Elsinore, CA with the most Python Robotics job openings:

Python Robotics jobs near you
Infographic showing various Python Robotics job openings in Lake Elsinore, CA as of June 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $118,476 per year, or $57 per hour.

1.51 Robotics Autonomy Engineer - Locomotion

FieldAI

Irvine, CA • On-site

$70K - $300K/yr

Full-time

Re-posted 25 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.
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.