Deployment Engineer

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)