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Rhoda AI

Develops heavy-lifting general-purpose humanoid robots

Senior Fleet Software Engineer

Site Reliability Engineering +1Confirmed live in the last 24 hours
Full-timeMountain View, CA, USANo salary listedIn-person

About the Job

Requirements

  • At least 3 years of software engineering experience with ownership of internal tooling, infrastructure, or reliability systems.
  • Strong proficiency in Python and at least one systems language: Go, C++, or Rust.
  • Experience building and operating continuous integration and continuous delivery pipelines and deployment automation.
  • Experience with a major cloud platform such as Amazon Web Services or Google Cloud Platform, containers, and orchestration tools including Docker and Kubernetes.
  • Solid distributed-systems fundamentals across data transport, monitoring, and fault tolerance.
  • Ability to debug across the full stack, from a device on the network to a service in the cloud.

Responsibilities

  • Build and own fleet observability, including metrics, logs, traces, and dashboards for visibility into live robots.
  • Design telemetry and data pipelines that reliably move robot data to the cloud for monitoring, debugging, and model training.
  • Build fleet-health dashboards and reports to make performance and regressions easy to identify.
  • Build alerting and on-call tooling that detects issues quickly and routes them to the appropriate responder with the relevant context.
  • Automate diagnostics and incident capture so responders can begin debugging without manually gathering data.
  • Automate manual, error-prone work and reduce operational toil.
  • Contribute to continuous integration and continuous delivery pipelines that reliably deliver code from development to the fleet.
  • Automate over-the-air software and firmware updates across the fleet with staged rollout, monitoring, and rollback.
  • Build provisioning and configuration tooling to keep the fleet consistent and reproducible.

Desired Qualifications

  • Background in robotics, autonomous vehicles, or other latency- or safety-critical domains.
  • Experience with observability stacks such as Prometheus/Grafana, OpenTelemetry, or Foxglove.
  • Experience with over-the-air or fleet deployment and safe-rollout patterns such as staged rollout and automatic rollback.
  • Familiarity with Robot Operating System or Robot Operating System 2, edge or embedded Linux, or low-latency data transport for real-time systems.
  • Experience building tooling for an operations, on-call, or field team.

About the Company

Rhoda AI

Develops heavy-lifting general-purpose humanoid robots

Rhoda AI is building a two-armed humanoid robot designed as a general-purpose bimanual manipulation platform for industrial use. Its product centers on heavy-lifting and complex manipulation in factory and logistics environments, where many humanoid robots struggle. The robot combines dual arms with software and sensors that enable grasping, coordinating with both hands, and performing tasks that require strength and precision in industrial settings. Rhoda AI differentiates itself by targeting heavy-lift capabilities in robotics, a gap for many competitors, supported by a team with deep robotics and AI expertise and substantial funding. The company aims to bring commercially viable humanoid robots to industrial markets, competing with other players in factory automation and logistics robotics, with the goal of transforming how manual work is automated in manufacturing and related sectors.

Company size
51-200
Company stage
Series A
Total funding
$680M
Headquarters
San Jose, CA
Founded
2024

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