1

Robotics Deployment Engineer Jobs in California (NOW HIRING)

As a Robotics Algorithm Engineer focused on Locomotion, you will work across simulation, learning-based control, state estimation, and real-robot deployment. This is a highly hands-on role requiring ...

As a Robotics Algorithm Engineer focused on Locomotion, you will work across simulation, learning-based control, state estimation, and real-robot deployment. This is a highly hands-on role requiring ...

... an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the ... deployment . Responsibilities * Design, train, evaluate, and deploy learning-based visuomotor ...

Contribute to building scalable deployment practices and playbooks for future rollouts. What You Have * Master's degree or higher in Robotics, Computer Science, Electrical/Mechanical Engineering, or ...

next page

Showing results 1-20

Robotics Deployment Engineer information

What are Robotics Deployment Engineers?

Robotics Deployment Engineers are professionals who specialize in installing, integrating, and configuring robotic systems in real-world settings. They work closely with clients to ensure robots are properly set up, tested, and optimized for specific operational needs. Their responsibilities often include troubleshooting hardware and software issues, providing on-site support, and training staff on using robotic equipment. These engineers play a critical role in making sure robotics technology transitions smoothly from the lab or factory to its intended application environment.

What are some typical challenges faced by Robotics Deployment Engineers during on-site installations?

Robotics Deployment Engineers often encounter challenges such as adapting to varying facility layouts, integrating new robotic systems with existing infrastructure, and troubleshooting unexpected hardware or software issues during deployment. Communication and collaboration with local IT, operations, and maintenance teams are key to overcoming these obstacles, as each site may present unique requirements or constraints. Being flexible and solution-oriented is essential, as timelines can be tight and successful deployment often hinges on quickly resolving integration and performance concerns.

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

To thrive as a Robotics Deployment Engineer, you need a strong background in robotics, mechanical or electrical engineering, and experience with system integration, often supported by a relevant engineering degree. Familiarity with programming languages (such as Python or C++), robotics middleware (like ROS), and hands-on experience with automation hardware and control systems are typically essential. Problem-solving, adaptability, and excellent communication skills help you coordinate with cross-functional teams and address client needs effectively. These skills ensure successful on-site deployment, troubleshooting, and optimization of robotic systems in diverse environments.
What job categories do people searching Robotics Deployment Engineer jobs in California look for? The top searched job categories for Robotics Deployment Engineer jobs in California are:
What cities in California are hiring for Robotics Deployment Engineer jobs? Cities in California with the most Robotics Deployment Engineer job openings:
Infographic showing various Robotics Deployment Engineer job openings in California as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Robotics Engineer, Manipulation

Skild AI

San Mateo, CA

Other

Posted 4 days ago


Job description

Position Overview

We are seeking a versatile Robotics Engineer to develop and implement software solutions for our manipulation systems. The ideal candidate will have experience in controls, perception, and planning. You will be working on deploying state-of-the-art learning-based algorithms on real robot setups, focused on daily manipulation tasks. This role will require close collaboration with researchers and the ML team. The ideal candidate should be comfortable with building high-quality software for robotic manipulation and deploying it on robot hardware.

Responsibilities
  • Help design algorithms, models, and techniques for various robotic manipulation tasks.
  • Design hardware and software systems for various robotic manipulation tasks.
  • Write controllers and perception stacks for real-world robotic deployment.
  • Write and maintain production-level C++ and Python code for our robotic manipulation platforms.
  • Collaborate with machine learning engineers to deploy state-of-the-art models on our robots.
  • Continuously improve and optimize robotic software for performance, reliability, and scalability.
Preferred Qualifications
  • BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
  • Experience in designing robotic manipulation systems and deploying software on real robots.
  • Experience with writing controllers and knowledge of robotics (e.g., kinematics, dynamics, control, motion planning, SLAM).
  • Proficiency in Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
  • Systems-level understanding of the various software modules and their interfaces in a robotic application (ROS/ROS2, simulators, etc.).
  • Publications at top-tier ML, robotics or CV conferences (e.g., NeurIPS, ICML, ICLR, CoRL, RSS, ICRA, CVPR, ECCV, ICCV).
  • Experience with designing custom robot hardware solutions.
  • Proficiency with various robot learning techniques (RL, imitation learning, etc.).
  • Experience working with modern computer vision algorithms, sensors (LiDAR, camera, radar, etc.), 3D (meshes, point clouds, etc.), segmentation, tracking, object detection.