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3D Robotics Jobs in California (NOW HIRING)

Skild AI

Robotics Engineer, Manipulation

San Mateo, CA · On-site

Position Overview We are seeking a versatile Robotics Engineer to develop and implement software ... Experience working with modern computer vision algorithms, sensors (LiDAR, camera, radar, etc.), 3D ...

Skild AI

Robotics Engineer, Manipulation

San Mateo, CA · On-site

$100K - $300K/yr

Company Overview At Skild AI, we are building the world's first general purpose robotic ... Experience working with modern computer vision algorithms, sensors (LiDAR, camera, radar, etc.), 3D ...

FieldAI

3D Machine Learning Engineer

Irvine, CA

$150K - $200K/yr

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field ... What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ...

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Showing results 21-40

All Jobs3D Robotics Jobs3D Robotics Jobs in California

3D Robotics information

See California salary details

$82.9K

$94.7K

$115K

How much do 3d robotics jobs pay per year?

As of Aug 11, 2026, the average yearly pay for 3d robotics in California is $94,742.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,800.00 and $100,700.00 per year, depending on experience, location, and employer.

What is the difference between 3D Robotics vs UAV Pilot?

Aspect3D RoboticsUAV Pilot
Required CertificationsPart 107 Remote Pilot Certificate, drone operation licensesPart 107 Remote Pilot Certificate, drone operation licenses
Work EnvironmentManufacturing, drone design, R&D, field testingField operations, aerial surveys, inspections
Industry UsageDrone manufacturing, technology developmentSurveying, agriculture, cinematography, inspections

Both 3D Robotics and UAV Pilot roles require similar certifications like the Part 107 Remote Pilot Certificate. While 3D Robotics focuses on drone design and manufacturing, UAV Pilots primarily operate drones in the field for various applications such as surveying or inspections. The roles often overlap in industry usage, but their core responsibilities differ: one develops drones, the other pilots them in real-world scenarios.

What is 3d robotics?

3D Robotics refers to the design, development, and operation of robots that utilize three-dimensional movement and spatial awareness. These robots are often used in fields such as drone technology, automation, and manufacturing, where they can move in all three spatial axes (x, y, and z). Professionals in 3D robotics work on creating robots capable of tasks like aerial mapping, surveying, inspection, and automation. The field combines mechanical engineering, electronics, programming, and sometimes artificial intelligence to build innovative robotic systems.

What are some common challenges faced by professionals working in 3d robotics, and how can they be addressed?

Professionals in 3D robotics often encounter challenges such as integrating hardware and software components, ensuring precise calibration of sensors, and troubleshooting unexpected behaviors in robotic systems. Collaboration with multidisciplinary teams—including mechanical engineers, software developers, and designers—is essential to address these issues effectively. Staying current with industry advancements and adopting best practices for testing and validation can help overcome technical hurdles and contribute to successful project outcomes.

What are the key skills and qualifications needed to thrive as a 3D robotics engineer?

To thrive as a 3D Robotics Engineer, you generally need strong skills in mechanical and electrical engineering, programming, and robotics design, often supported by a degree in engineering or a related field. Familiarity with CAD software, robotics simulation tools, embedded systems, and possibly certifications in robotics or automation are essential. Critical thinking, problem-solving, and effective teamwork set standout professionals apart in this role. These skills are crucial for designing, building, and troubleshooting advanced robotic systems that function reliably in real-world applications.
What are popular job titles related to 3D Robotics jobs in California? For 3D Robotics jobs in California, the most frequently searched job titles are:
What job categories do people searching 3D Robotics jobs in California look for? The top searched job categories for 3D Robotics jobs in California are:
What cities in California are hiring for 3D Robotics jobs? Cities in California with the most 3D Robotics job openings:
3D Robotics jobs near you
Infographic showing various 3D Robotics job openings in California as of August 2026, with employment types broken down into 68% Full Time, 22% Part Time, 5% Contract, and 5% Summer. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $94,742 per year, or $45.5 per hour.

Machine Learning Engineer - Robot Perception

Maven Robotics

San Francisco, CA • On-site

Full-time

Re-posted 12 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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