Robotics Software Engineer

About Omakase Robotics

Aiming to be the world’s leading humanoid company, we are building highly reliable robots for everyday real-world use, engineered with rigorous mass-production discipline. Three vertically integrated components: **Omakase D1** (our own hardware), **Omakase Zen** (the manipulation intelligence foundation), and **Omakase OS** (the orchestration software that runs robots in the field — this role).

The Role

Omakase OS is everything between a trained model and a robot doing a job in a hospital at 6am: on-robot inference serving, task orchestration and state machines, navigation and manipulation integration, voice/HRI hooks, deployment, monitoring, and recovery. You will build the runtime that makes intelligence operational — the unglamorous, decisive layer where robotics companies live or die.

Responsibilities

- Design and build the on-robot runtime: ROS 2 nodes, task orchestration/state machines, safety guards, and recovery behaviors
- Serve learned policies on-robot and at the edge (policy servers, streaming inference, latency budgets on Jetson-class hardware)
- Integrate subsystems into one working robot: manipulation policies (Zen), navigation/SLAM, voice interaction, fleet telemetry
- Own deployment and operations tooling: containerized builds, systemd services, OTA updates, remote debugging of field robots
- Build the observability layer: structured logging, telemetry ingestion, incident triage for deployed robots
- Work with FDEs to turn field failures into runtime fixes and with the Data Platform team to capture every run as training data

Required Qualifications

- **5+ years of software engineering**, with 2+ years shipping software that ran on physical robots or embedded/edge systems in production
- Strong modern C++ (14/17) **and** Python
- Production ROS / ROS 2 experience on Linux (real robots, not only simulation)
- Real-time thinking: latency budgets, lock-free queues where needed, graceful degradation, watchdogs
- Docker, Git, CI/CD as daily tools; comfort debugging a robot over SSH in the field
- Working English (team documentation is in English); Japanese is a plus for field work

Preferred

- On-device ML inference (TensorRT, ONNX Runtime, GPU serving) and Jetson/edge optimization
- Experience integrating learned policies (VLA/BC) into control stacks
- Fleet management, OTA update systems, or remote operations tooling
- Voice/multimodal interaction pipelines
- Safety frameworks for robots operating around people

Why This Role

- OS is where the whole company converges: your code decides whether hardware (D1) plus intelligence (Zen) equals a robot a hospital can rely on.
- Field feedback in days: robots you deploy run real shifts at real customer sites in Japan.