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Python Robotics Jobs in Los Angeles, CA (NOW HIRING)

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Python Robotics information

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$14

$63

$92

How much do python robotics jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for python robotics in Los Angeles, CA is $63.17, according to ZipRecruiter salary data. Most workers in this role earn between $52.07 and $71.73 per hour, depending on experience, location, and employer.

What are Python Robotics jobs?

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.

Will AI replace Python coders?

Python robotics engineers develop and maintain automation systems that often incorporate AI and machine learning. While AI can automate certain coding tasks, human expertise is still essential for designing, debugging, and optimizing complex robotic applications. Therefore, AI is more likely to augment rather than fully replace Python coders in robotics roles.

Is Python useful for robotics?

Python is widely used in robotics for tasks such as control, simulation, and data processing due to its simplicity and extensive libraries like ROS (Robot Operating System). It allows robotics engineers and developers to prototype quickly and integrate with hardware and sensors efficiently. Knowledge of Python, along with skills in algorithms and hardware interfaces, is valuable for robotics roles.

What is the highest paid job in robotics?

The highest paid jobs in robotics often include robotics engineers, robotics directors, and automation executives, with senior roles in research and development or management earning six-figure salaries. These positions typically require advanced degrees, specialized skills in AI and machine learning, and extensive experience in the field.

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 engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or robotics engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often includes base salary, bonuses, and stock options, particularly in large tech companies or startups with significant funding.

What are the key skills and qualifications needed to thrive as a Python Robotics Engineer, and why are they important?

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 are popular job titles related to Python Robotics jobs in Los Angeles, CA? For Python Robotics jobs in Los Angeles, CA, the most frequently searched job titles are:
What job categories do people searching Python Robotics jobs in Los Angeles, CA look for? The top searched job categories for Python Robotics jobs in Los Angeles, CA are:
What cities near Los Angeles, CA are hiring for Python Robotics jobs? Cities near Los Angeles, CA with the most Python Robotics job openings:
Python Robotics jobs near you

Robotics Autonomy Engineer-Planning and Control

FieldAI

Irvine, CA

$70K - $200K/yr

Full-time

Posted 28 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 - Planning and Control, you'll 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'll 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 hits the ground (literally) - 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).
  • 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
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 - $200,000 a year
Compensation and Benefits
 
The salary range for this role is $70,000-$200,000. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time. 
 
Field AI Onsite Work Philosophy
 
At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Mission Viejo, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance.
 
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 dedicated to fostering a diverse and inclusive workplace and encourage applicants from all backgrounds to apply.
 
We are dedicated to fostering a diverse and inclusive workplace and encourage applicants from all backgrounds to apply.
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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