Dyna Robotics builds general-purpose robots powered by a proprietary embodied AI foundation model with top-in-industry generalization and real-world performance. Already deployed with customers across multiple industries, our robots do commercial-grade work in the physical world. Our team comes from Google DeepMind, Meta, and Cruise, and we're backed by CRV, First Round, and other leading investors.
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
Act as the first-line software responder for live robot operations. Review operator reports, assess safety and production impact, provide clear guidance, and drive remote recovery across robot services, servers, networking, and configuration.
Own production change management and incident evidence. Coordinate downtime and deploy/rollback station, inference, and model releases; and route clean handoffs to partner teams.
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)