Senior Fleet Software Engineer

Rhoda Ai
Mountain View
On-site

Who this role is best for

Aimed at senior software engineers with experience in observability, deployment automation, and distributed systems, who can work in a collaborative, real-world robotics environment in Mountain View.

Best fit for

  • Senior engineers with a background in building observability and deployment systems for robotics or autonomous systems
    — “Background in robotics, autonomous vehicles, or other latency- or safety-critical domains
  • Candidates who have led or owned internal tooling and infrastructure in prior roles
    — “3+ years of software engineering, with real ownership of internal tooling, infrastructure, or reliability systems
  • Individuals with experience in cloud-based telemetry pipelines and fleet monitoring systems
    — “Design telemetry and data pipelines that reliably move robot data to the cloud for monitoring, debugging, and model training

Things to consider

  • The role demands deep technical expertise in both Python and systems languages like Go or Rust
    — “Strong proficiency in Python plus at least one systems language (Go, C++ or Rust)
  • Candidates must be comfortable with on-call responsibilities and real-time system debugging
    — “Ability to debug across the full stack, from a device on the network to a service in the cloud

How to stand out

  • Highlight experience with fleet deployment automation and staged rollouts in your resume and interviews
    — “Work with software teams to automate over-the-air (OTA) software and firmware updates across the fleet, with staged rollout, monitoring, and rollback
  • Emphasize your work with observability tools like Prometheus, Grafana, or OpenTelemetry
    — “Experience with observability stacks (e.g., Prometheus/Grafana, OpenTelemetry, Foxglove)
  • Demonstrate your ability to build and operate CI/CD pipelines for large-scale systems
    — “Contribute to CI/CD pipelines that deliver code reliably from development to the fleet
  • Showcase your experience with distributed systems and fault tolerance mechanisms
    — “Solid distributed-systems fundamentals across data transport, monitoring, and fault tolerance
  • Include projects involving embedded Linux or real-time data transport if applicable
    — “Familiarity with edge or embedded Linux, or low-latency data transport for real-time systems
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • building and owning fleet observability
  • designing telemetry and data pipelines
  • building fleet-health dashboards
  • automating diagnostics and incident capture
  • contributing to CI/CD pipelines
Typical background
software engineeringinfrastructureobservability

Skills & requirements

Required

Software EngineeringInfrastructureObservabilityTelemetryAlertingAutomationCi/cd PipelinesDeploymentFleet ManagementDistributed SystemsDebugging

Preferred

RoboticsAutonomous VehiclesOTA DeploymentFleet DeploymentRos/ros2Embedded LinuxLow-latency Data Transport

Stack & domain

Software EngineeringPythonGoC++RustCi/cd PipelinesAWSGCPDockerKubernetesDistributed SystemsDebuggingRoboticsAutonomous VehiclesObservability StacksOTA DeploymentFleet DeploymentSafe-rollout PatternsRos/ros2Embedded LinuxLow-latency Data TransportProblem-solvingTeamworkCommunicationLeadershipAdaptabilityAISoftware DevelopmentInfrastructureAutomation

About the role

Original posting from Rhoda Ai via Ashby

At Rhoda AI, we’re building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $450M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality.

THE ROLE

You'll build the software and infrastructure that lets a small team operate and monitor a growing fleet of deployed robots. The observability, alerting, and automation you build are what the team watches during a shift and what on-call responds to when something goes wrong. You'll contribute to the fleet's operational software end to end, from the telemetry we collect on every robot to the dashboards, pipelines, and tooling that act on it, and work closely with the operations and response teams so the fleet gets easier to run as it scales.

WHAT YOU'LL DO

OBSERVABILITY AND TELEMETRY

  • Build and own fleet observability: the metrics, logs, traces, and dashboards that give the team full 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 that make performance and regressions easy to spot

ALERTING AND AUTOMATION

  • Build alerting and on-call tooling that catches issues fast and routes them to the right responder with the right context
  • Automate diagnostics and incident capture so responders can start debugging instead of gathering data
  • Automate manual, error-prone work and reduce operational toil

DEPLOYMENT AND RELEASE INFRASTRUCTURE

  • Contribute to CI/CD pipelines that deliver code reliably from development to the fleet
  • Work with software teams to automate over-the-air (OTA) 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

REQUIRED QUALIFICATIONS

  • 3+ years of software engineering, with real ownership of internal tooling, infrastructure, or reliability systems
  • Strong proficiency in Python plus at least one systems language (Go, C++, or Rust)
  • Experience building and operating CI/CD pipelines and deployment automation
  • Experience with a major cloud (AWS or GCP), containers, and orchestration (Docker, 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

PREFERRED QUALIFICATIONS

  • Background in robotics, autonomous vehicles, or other latency- or safety-critical domains
  • Experience with observability stacks (e.g., Prometheus/Grafana, OpenTelemetry, Foxglove)
  • Experience with OTA or fleet deployment and safe-rollout patterns such as staged rollout and auto-rollback
  • Familiarity with ROS/ROS2, edge or embedded Linux, or low-latency data transport for real-time systems
  • Experience building tooling for an operations, on-call, or field team

Source: Rhoda Ai careers (Ashby)

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