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Robotics Deployment Engineer Jobs in California (NOW HIRING)

SERES

Robotics Engineer

Milpitas, CA

As a Robotics Algorithm Engineer focused on Humanoid Whole-Body Control , you will work across VLA / WAM, vision-based RL, whole-body control, simulation, state estimation, and real-robot deployment

SERES

Robotics Engineer

Milpitas, CA · On-site

As a Robotics Algorithm Engineer focused on Humanoid Whole-Body Control , you will work across VLA / WAM, vision-based RL, whole-body control, simulation, state estimation, and real-robot deployment

Skild AI

Robotics Engineer, Manipulation

San Mateo, CA · On-site

$100K - $300K/yr

Write controllers and perception stacks for real-world robotic deployment. * Write and maintain ... Collaborate with machine learning engineers to deploy state-of-the-art models on our robots.

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Robotics Deployment Engineer information

What is a robotics deployment engineer?

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.

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Cities in California with the most Robotics Deployment Engineer job openings:

Robotics Deployment Engineer jobs near you
Infographic showing various Robotics Deployment Engineer job openings in California as of September 2026, with employment types broken down into 1% Internship, 86% Full Time, 10% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution.

Robotics Engineer, Deployment & Testing - San Mateo

San Mateo, CA • On-site

Skild AI
See more jobs at Skild AIexternal

Full-time

Re-posted 23 days ago

Job description

Position Overview

We are looking for a Robotics Engineer specializing in Deployment & Testing to help further the performance and capabilities of Skild AI's world-class high-level software and products through formalized, rigorous testing. You will design and implement automated software tests and the ecosystems in which they run. As a critical member of the robotics team, you will have an important role in defining the quality standards of our software while accelerating its development.

Responsibilities
  • Define, implement, and maintain comprehensive regression tests for Skild AI's software and products.
  • Design and organize test plans according to priority, impact, risk, and feasibility.
  • Debug and troubleshoot failures in complex scenarios while testing and/or deployment at customer sites.
  • Maintain robots and ensure they are deployment ready.
  • Recreate corner cases from production logs into repeatable tests.
  • Collaborate closely with robotic software developers and machine learning engineers and provide feedback on what needs to be improved to produce and sustain a top-quality product that meets customer expectations.
Preferred Qualifications
  • BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
  • Proficiency developing in low-level systems languages (C, C++, Rust, Go) and Python.
  • Experience with complex software systems working in real-time with embedded systems.
  • Experience with Test Management and Requirements software.
  • Experience with ROS/ROS2 or other robotics middleware platforms.
  • Previous work experience as a Test Engineer.
  • Prior experience developing and deploying software on real robots.
  • Deep understanding and practical experience with software engineering principles, including algorithms, data structures, and system design.
  • Familiarity with machine learning integration and deployment in robotic systems.

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