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Robotics Deployment Engineer Jobs in Berkeley, CA

Advanced Robotics Group, LLC

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Autonomous Robotics Software Engineer

Berkeley, CA · On-site

Autonomous Robotics Software Engineer (Robotics / Autonomy / C++) Advanced Robotics Group, LLC is ... We are now scaling our technology and preparing for global deployment. If you're interested in ...

OpenAI

Electrical Engineer, Robotics

San Francisco, CA · On-site

$295K - $380K/yr

About the Team Our Robotics team is focused on unlocking general-purpose robotics and advancing ... and deployment. Engineers in this role are expected to independently drive significant hardware ...

Nimble Robotics

Robot SW Test Engineer

San Francisco, CA · On-site

$150K - $195K/yr

About Nimble Nimble is an AI robotics company building the autonomous supply chain to power fast ... Partner with members of Systems Integration team on HIL coverage and with deployment teams to ...

Nimble Robotics

Robot SW Test Engineer

San Francisco, CA · On-site

$150K - $195K/yr

About Nimble Nimble is an AI robotics company building the autonomous supply chain to power fast ... Partner with members of Systems Integration team on HIL coverage and with deployment teams to ...

TSMG

Robotics Operations Technician

San Mateo, CA

Support robot deployment, setup, and operational readiness checks * Collect operational data and maintain activity logs * Escalate technical issues to engineering teams * Verify task completion and ...

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All JobsRobotics Deployment Engineer JobsRobotics Deployment Engineer Jobs in Berkeley, CA

Robotics Deployment Engineer information

See Berkeley, CA salary details

$43.5K

$134.2K

$208.2K

How much do robotics deployment engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for robotics deployment engineer in Berkeley, CA is $134,150.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,600.00 and $169,600.00 per year, depending on experience, location, and employer.

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.

What are popular job titles related to Robotics Deployment Engineer jobs in Berkeley, CA?

For Robotics Deployment Engineer jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Robotics Deployment Engineer jobs in Berkeley, CA look for?

The top searched job categories for Robotics Deployment Engineer jobs in Berkeley, CA are:

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Robotics Deployment Engineer jobs near you
Infographic showing various Robotics Deployment Engineer job openings in Berkeley, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $134,150 per year, or $64.5 per hour.

Machine Learning Engineer - Robot Perception

Maven Robotics

San Francisco, CA • On-site

Full-time

Re-posted 19 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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