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Rhoda AI

Develops heavy-lifting general-purpose humanoid robots

Fleet Response Engineer

Site Reliability EngineeringConfirmed live in the last 24 hours
Full-timeMountain View, CA, USANo salary listed

About the Job

Requirements

  • Strong systematic debugging skills for complex systems, including reasoning from symptoms to root cause and reverse-engineering unexpected behavior.
  • Proficiency with Linux and the command line, including reading logs, telemetry, and system data.
  • Coding proficiency in Python and/or C/C++; Bash is a plus.
  • Clear written and verbal communication and calm judgment under pressure.
  • Willingness to participate in an on-call rotation, including some nights and weekends as the fleet grows.

Responsibilities

  • Monitor incoming faults, alarms, and alerts from robots deployed at customer sites and in internal testing; triage and prioritize them 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.
  • Escalate to and coordinate with domain engineering teams, including artificial intelligence, robot software, cloud, and hardware teams, 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 confirmed recovery and a clean handoff.
  • Perform root-cause analysis, identify contributing factors 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.
  • Build, or specify with the software team, monitoring, alerting, and diagnostic tooling that catches issues fleet-wide.
  • Establish diagnostic procedures that allow technicians and operators to self-serve common issues.
  • Continuously reduce manual and repetitive response work through automation.

Desired Qualifications

  • Three or more years working with robotic, autonomous, automotive, aerospace, or industrial-automation systems in an engineering, reliability, or support capacity.
  • Familiarity with ROS or ROS2 and robot subsystems, including sensors, actuators, perception, and 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 and willingness to travel occasionally to deployment sites.

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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