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Robotics Deployment Engineer Jobs in California (NOW HIRING)

Dyna Robotics makes general-purpose robots powered by a proprietary embodied AI foundation model ... Prior field/deployment, SRE, or solutions-engineering role at a hardware or robotics startup.

New

Deployment Engineer

San Francisco, CA · On-site +1

$100K - $140K/yr

Our products endow industrial robots with the level of autonomy needed to perform an extensive ... As a Deployment Engineer, your focus is on the customer. You will intimately understand OSARO ...

An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ... We are seeking an AI Factory Controls and Monitoring Engineer to support control system deployments.

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.

The Engineer - Deployment collaborates with internal teams, third-party vendors, and customers to ... Bachelor's Degree in Robotics, Mechatronics, Computer Science, or related field, preferred

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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.

Deployment Engineer

DYNA Robotics Inc

Redwood City, CA • On-site

Full-time

Posted yesterday


Job description

Join us to shape the next frontier of AI-driven robotics!
Dyna Robotics makes general-purpose robots powered by a proprietary embodied AI foundation model that generalizes and self-improves across varied environments with commercial-grade performance. Dyna's robots have been deployed at customers across multiple industries. Our frontier model has the top generalization and performance in the industry.
The Role
This is a hands-on role for someone who's equally comfortable reading a Python traceback, crimping an ethernet cable, arguing about GPU thermals, and talking a customer's IT contact through firewall whitelisting, often in the same afternoon.
What You'll Do
  • Stand up and maintain deployment sites. Network bring-up (captive portals, firewall/MAC whitelisting, token rotation, Tailscale, VLANs/SSIDs, WiFi and TCP tuning), inference server provisioning, and end-to-end validation that a robot is collecting/inferring correctly.
  • Own incident response. Carry the on-call pager, triage and lead incidents on incident.io, debug under pressure (motor/CAN bus timeouts, container crash-loops, upload/finalize-queue stalls, GPU-not-detected), and write the post-mortem and follow-ups.
  • Debug across the stack. Linux services and Docker container health, GPU/inference server issues, networking, and robot hardware (arm/motor swaps, cabling, sensors).
  • Be the on-site face for customers. Coordinate directly with customer IT and site contacts, schedule and run deployments, and represent Dyna professionally at sites, showrooms, and conferences.
  • Make the function scalable. Turn tribal knowledge into runbooks, networking/provisioning scripts, monitoring/dashboards, and onboarding so that no single site (or person) is a point of failure.
  • Close the loop with engineering. File clear, reproducible reports back to hardware/software/research teams and push for fleet-wide fixes (not just one-off patches).
What You'll Bring
  • Strong Linux fundamentals: shell, systemd/services, SSH, log spelunking, and Docker.
  • Solid networking skills: DHCP/DNS, firewalls, VPN (e.g. Tailscale/WireGuard), VLANs, WiFi behavior, and the patience to deal with hostile customer networks (captive portals, locked-down firewalls).
  • Comfort with GPU/server hardware and inference workloads: drivers, nvidia-smi, thermal/power constraints, basic benchmarking.
  • Hands-on hardware debugging instinct - willing to physically swap an arm, reseat a connector, or trace a flaky cable.
  • Calm, structured incident response and clear written communication (status updates, post-mortems).
  • Customer-facing maturity and willingness to travel to sites on short notice.
Bonus Points For
  • Robotics or embedded experience: CAN bus / socketcan, motor controllers, sensors/cameras (e.g. GStreamer pipelines).
  • Experience building observability (Grafana/Datadog) and writing deployment/automation scripts.
  • Prior field/deployment, SRE, or solutions-engineering role at a hardware or robotics startup.
  • Experience setting up on-call processes and runbooks from scratch.

Additional Requirements
  • Location: in Redwood City, CA (Onsite 5 days/week + occasional travel)