Fleet Response Engineer

Rhoda Ai
Mountain View
Career-pivot friendly

Who this role is best for

Aimed at mid-level engineers with robust debugging skills and a background in robotics or related domains, who can manage on-call responsibilities and work collaboratively across teams in Mountain View.

Best fit for

  • Mid-level engineers with experience in robotic systems and a track record of solving unusual bugs.
    — “Experience building tools that help others debug, and a track record of solving unusual bugs
  • Candidates who can debug complex systems and work across hardware, software, and networking domains.
    — “Debug complex issues across subsystems through log analysis, telemetry review, and reproduction testing
  • Individuals comfortable with Linux, command line, and system data interpretation.
    — “Comfortable in Linux and the command line, and reading logs, telemetry, and system data

Things to consider

  • On-call duties include nights and weekends as the fleet scales.
    — “Willingness to take part in an on-call rotation, including some nights and weekends as the fleet grows
  • Travel may be necessary for deployment site visits.
    — “Willingness to travel occasionally to deployment sites

How to stand out

  • Highlight incident resolution and cross-domain collaboration in your resume and interview stories.
    — “Escalate to and coordinate with domain engineering teams (AI, robot software, cloud, hardware) to drive resolution
  • Emphasize experience with Python, C/C++, and Bash in your technical skills section.
    — “Coding proficiency in Python and/or C/C++ (Bash a plus)
  • Showcase your ability to translate field insights into product reliability improvements.
    — “Feed field insights back to engineering to improve product reliability and issue detection
  • Demonstrate your ability to build monitoring and diagnostic tools for fleet-wide use.
    — “Build (or spec, with the software team) the monitoring, alerting, and diagnostic tooling that catches issues fleet-wide
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · TeamLevel · Senior

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

What success looks like

  • fast incident resolution
  • reliable fleet operation
  • improved monitoring
Typical background
3+ years in engineering or reliability

Skills & requirements

Required

System DebuggingIncident ResponseRoot Cause AnalysisMonitoring ToolingDiagnostic Procedures

Preferred

Robotics ExperienceOn-call RotationHardware-software Interfaces

Stack & domain

PythonC/c++BashRoboticsAutonomous SystemsIndustrial Automation

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 be the first engineer in the loop when something goes wrong on a deployed robot. When the field or operations team hits an issue they can't resolve, they come to you. You'll triage incoming faults and alerts, debug across the full stack: hardware, embedded, software, sensors, networking, to find the fastest safe path back to operation, and pull in the right domain experts when an issue runs deep. You'll own incidents from first alert through recovery and root cause, and turn what you learn into better monitoring, better runbooks, and a more reliable fleet.

WHAT YOU'LL DO

TRIAGE AND INCIDENT RESPONSE

  • Monitor incoming faults, alarms, and alerts from robots deployed at customer sites and in internal testing; triage and prioritize by severity and operational impact
  • Act as the first engineering responder and point of contact for real-time escalations from field technicians and operations
  • Debug complex issues across subsystems through log analysis, telemetry review, and reproduction testing
  • Drive incidents to fast resolution or mitigation to restore operation and maximize fleet uptime

ESCALATION AND COORDINATION

  • Escalate to and coordinate with domain engineering teams (AI, robot software, cloud, hardware) to drive resolution
  • Own the on-call rotation and paging, and keep the escalation process clear and current
  • Communicate status to operations, engineering, and customer-facing teams throughout an incident
  • Own each incident through to confirmed recovery and a clean handoff

ROOT CAUSE AND RELIABILITY

  • Perform root-cause analysis — identify contributing factors, themes, and corrective actions — and track follow-ups to closure
  • Document investigations and fixes in a shared knowledge base and troubleshooting guide so future issues resolve faster
  • Feed field insights back to engineering to improve product reliability and issue detection
  • Track reliability trends and flag recurring or systemic failures

TOOLING AND PREVENTION

  • Build (or spec, with the software team) the monitoring, alerting, and diagnostic tooling that catches issues fleet-wide
  • Establish diagnostic procedures that let technicians and operators self-serve common issues
  • Continuously reduce manual, repetitive response work through automation

REQUIRED QUALIFICATIONS

  • Strong systematic debugging of complex systems — the ability to reason from symptoms to root cause and reverse-engineer unexpected behavior
  • Comfortable in Linux and the command line, and reading logs, telemetry, and system data
  • Coding proficiency in Python and/or C/C++ (Bash a plus)
  • Clear written and verbal communication, and calm judgment under pressure
  • Willingness to take part in an on-call rotation, including some nights and weekends as the fleet grows

PREFERRED QUALIFICATIONS

  • 3+ years working with robotic, autonomous, automotive, aerospace, or industrial-automation systems in an engineering, reliability, or support capacity
  • Familiarity with ROS/ROS2 and robot subsystems (sensors, actuators, perception, networking)
  • Prior on-call, site-reliability, or release-engineering experience
  • Experience building tools that help others debug, and a track record of solving unusual bugs
  • Comfort with hardware and hardware–software interfaces; willingness to travel occasionally to deployment sites

Source: Rhoda Ai careers (Ashby)

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