About the role
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.
