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Junior Robotics Engineer Jobs in California (NOW HIRING)

HADRIAN

Robot Manipulation R&D Engineer

Torrance, CA · On-site

$160K - $260K/yr

Support team growth by contributing to hiring, mentoring junior engineers, and establishing technical best practices and workflows. What We're Looking For * M.S. or Ph.D. in Robotics, Mechanical ...

HADRIAN

Robot Manipulation R&D Engineer

Torrance, CA

$260K/yr

Support team growth by contributing to hiring, mentoring junior engineers, and establishing technical best practices and workflows. What We're Looking For * M.S. or Ph.D. in Robotics, Mechanical ...

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All JobsRobotics Engineer JobsJunior Robotics Engineer JobsJunior Robotics Engineer Jobs in California

Junior Robotics Engineer information

See California salary details

$33.1K

$70.9K

$108.1K

How much do junior robotics engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for junior robotics engineer in California is $70,859.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,900.00 and $79,000.00 per year, depending on experience, location, and employer.

What is a Junior Robotics Engineer job?

A Junior Robotics Engineer is an entry-level role focused on designing, building, and testing robotic systems. They assist in developing hardware and software solutions, troubleshooting issues, and collaborating with senior engineers to improve automation processes. This position typically requires knowledge of programming, electronics, and mechanical design. Junior Robotics Engineers often work in industries like manufacturing, healthcare, and automotive.

What kind of projects or daily tasks will I typically work on as a Junior Robotics Engineer?

As a Junior Robotics Engineer, you can expect to assist with the design, assembly, and testing of robotic systems and components, often under the guidance of senior engineers. Your daily tasks may include writing and debugging code, calibrating sensors, creating simulations, and documenting results. You will likely collaborate closely with teammates from fields such as software development, mechanical design, and electrical engineering to solve real-world challenges. This variety provides valuable hands-on experience and exposure to multiple aspects of the robotics development process, helping you build a strong technical foundation for your career.

What are the key skills and qualifications needed to thrive in the Junior Robotics Engineer position, and why are they important?

To thrive as a Junior Robotics Engineer, you need a solid understanding of robotics fundamentals, programming (such as Python or C++), and a degree in mechanical, electrical, or computer engineering. Familiarity with tools like ROS (Robot Operating System), CAD software, and microcontroller platforms (like Arduino or Raspberry Pi) is highly beneficial. Strong problem-solving abilities, effective communication, and a willingness to learn are standout soft skills for this role. These competencies enable you to contribute to project success, collaborate with multidisciplinary teams, and adapt to evolving technologies in robotics.

What are the most commonly searched types of Robotics Engineer jobs in California? The most popular types of Robotics Engineer jobs in California are:
What are popular job titles related to Junior Robotics Engineer jobs in California? For Junior Robotics Engineer jobs in California, the most frequently searched job titles are:
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What cities in California are hiring for Junior Robotics Engineer jobs? Cities in California with the most Junior Robotics Engineer job openings:
Junior Robotics Engineer jobs near you
Infographic showing various Junior Robotics Engineer job openings in California as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $70,859 per year, or $34.1 per hour.

Machine Learning Engineer - Robot Perception

Maven Robotics

San Francisco, CA • On-site

Other

Posted 26 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.

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