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Python Robotics Jobs in Oakland, CA (NOW HIRING)

Design, implement, and maintain production software for real-world robotic systems using C++ and Python, with a focus on performance, reliability, and maintainability. * System Integration

Develop test tools and automation scripts in C++ and Python to streamline integration and data analysis. * Design and run validation plans that stress full-robot functionality across real-world use ...

Design, implement, and maintain production software for real-world robotic systems using C++ and Python, with a focus on performance, reliability, and maintainability. * System Integration

Possesses demonstrated expertise in programming languages such as Python, C++ and has a solid understanding of robotics principles including perception, motion planning, and control. Excels in ...

Possesses demonstrated expertise in programming languages such as Python, C++ and has a solid understanding of robotics principles including perception, motion planning, and control. Excels in ...

Maintain motor and sensor drivers, and related software tools, in Python / C++ * Develop clear processes for robot assembly, bringup, QA testing, and troubleshooting * Help define component and ...

ML Engineer - Robotics

San Francisco, CA · On-site

$220K - $300K/yr

Proficiency in Python and C++ for robotics software development. * Strong experience with ROS/ROS2 for robotics software integration. * Solid expertise in sensor fusion and multi-sensor perception ...

ML Engineer - Robotics

San Francisco, CA · On-site

$220K - $300K/yr

Proficiency in Python and C++ for robotics software development. * Strong experience with ROS/ROS2 for robotics software integration. * Solid expertise in sensor fusion and multi-sensor perception ...

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Python Robotics information

See Oakland, CA salary details

$15

$67

$99

How much do python robotics jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for python robotics in Oakland, CA is $67.33, according to ZipRecruiter salary data. Most workers in this role earn between $55.48 and $76.49 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 job categories do people searching Python Robotics jobs in Oakland, CA look for? The top searched job categories for Python Robotics jobs in Oakland, CA are:
What cities near Oakland, CA are hiring for Python Robotics jobs? Cities near Oakland, CA with the most Python Robotics job openings:
Infographic showing various Python Robotics job openings in Oakland, CA as of July 2026, with employment types broken down into 1% Internship, 88% Full Time, 8% Part Time, and 3% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $140,036 per year, or $67.3 per hour.

Machine Learning Engineer - Robot Perception

Maven Robotics

San Francisco, CA • On-site

Full-time

Re-posted 18 days ago


Job description

Company Overview
Maven Robotics is building the world's leading general-purpose AI robots.
We are currently operating in stealth and are growing the world's best team in AI robotics. We are looking for self-starters that are the world's best in their field, who can innovate from a deep understanding of the fundamentals, and who share our values of unwavering truth seeking and integrity, humility, curiosity, and relentless determination.
Role Description
We are looking to recruit an exceptional Machine Learning Engineer - Robot Perception to design, implement, test, and deploy robot perception algorithms that power our robots' ability to understand and interact with the world.
In this role you will:
  • Develop, train, and deploy ML-based perception algorithms for object detection, pose estimation, tracking, and scene understanding.
  • Integrate sensor fusion techniques using cameras, depth sensors, IMUs, and tactile feedback.
  • Optimize real-time perception pipelines for low-latency and robust performance in dynamic environments.
  • Work closely with hardware engineers to design sensor configurations and optimize perception models for onboard deployment.
  • Contribute to our broader AI and autonomy stack, ensuring seamless integration with reasoning, manipulation, planning and control.
  • Collaborate across disciplines to ensure seamless integration of ML models and provide technical mentorship to junior engineers.
Qualifications
Must-have:
  • MS or PhD in machine learning, computer science, robotics, or a related field.
  • Strong background in computer vision, deep learning, and sensor fusion.
  • Proficiency in Python and C++, with experience in frameworks like PyTorch, TensorFlow, OpenCV, and ROS.
  • Hands-on experience with real-world robotics perception systems (e.g., SLAM, 3D reconstruction, multimodal perception).
  • Experience working with hardware, including setting up and calibrating cameras, LiDAR, and other sensors.
  • Experience with data collection, preprocessing, and management in the context of training ML models.
  • Self-starter attitude with strong ability to identify problems, prioritize them, then plan and execute working solutions.
  • Enthusiasm for working in a fast paced startup environment and eagerness to support the team on a variety of topics.

Nice-to-have:
  • Familiarity with robotic simulation environments (e.g., Gazebo, MuJoCo) and experience in sim-to-real transfer.
  • Experience in:
    • Developing models that can handle noisy, incomplete, or sparse data.
    • Deployment of ML models to edge devices for real-time inference (e.g., NVIDIA Jetson).
    • Accelerating ML training processes using GPU, TPU, or other HW accelerators.
    • General knowledge of robotics principles, including kinematics, dynamics, and control.