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.