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Rhoda AI is building generalist intelligent robots with a full robotics stack spanning hardware, systems, and foundation world models. The company has raised over $450M and is scaling manufacturing and deployment.
As Senior Fleet Software Engineer, you'll own the software and infrastructure that enables a small operations team to monitor and manage a growing fleet of deployed robots in real-world environments. You'll build the observability, alerting, and automation systems that the team watches during shifts and that on-call engineers rely on when issues arise.
Key responsibilities include:
OBSERVABILITY AND TELEMETRY: Design and build fleet observability systems capturing metrics, logs, and traces from live robots. Create reliable data pipelines that move robot telemetry to the cloud for monitoring, debugging, and model training. Build dashboards and reports that surface fleet health, performance trends, and regressions.
ALERTING AND AUTOMATION: Develop alerting and on-call tooling that detects issues quickly and routes them to the right responder with full context. Automate diagnostics and incident capture to reduce manual data gathering. Eliminate manual, error-prone operational work.
DEPLOYMENT AND RELEASE INFRASTRUCTURE: Contribute to CI/CD pipelines that reliably deliver code from development to the fleet. Build over-the-air (OTA) update systems with staged rollout, monitoring, and automatic rollback. Create provisioning and configuration tooling to maintain fleet consistency.
You'll work closely with operations and response teams, understanding their needs and making the fleet progressively easier to operate as it scales.
Required: 3+ years software engineering with ownership of internal tooling, infrastructure, or reliability systems. Strong Python plus one systems language (Go, C++, Rust). Experience building and operating CI/CD and deployment automation. Hands-on with major cloud (AWS/GCP), containers, and orchestration (Docker/Kubernetes). Solid distributed-systems fundamentals. Full-stack debugging ability.
Preferred: Robotics, autonomous vehicles, or safety-critical domain experience. Observability stacks (Prometheus, Grafana, OpenTelemetry, Foxglove). OTA and fleet deployment patterns. ROS/ROS2, edge Linux, or low-latency real-time data transport. Tooling for operations or on-call teams.
