---
title: 'Fleet Response Engineer at Rhoda AI'
canonical: 'https://feeny.ai/job/fleet-response-engineer-rhoda-ai-mountain-view-qk40e501tskz'
type: 'job'
last_seen: '2026-09-09'
---

# Fleet Response Engineer at Rhoda AI

- **Company:** Rhoda AI
- **Location:** Mountain View, CA
- **Employment:** full-time
- **Posted:** 2026-08-10
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/rhoda-ai/e42fd3a6-c433-471a-ab54-29534e246e9a

## Job description

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

## About Rhoda AI

## Company Overview
- **One-liner**: Rhoda AI builds robot foundation models that learn from internet-scale video to enable manipulation-capable robots to generalize in real-world industrial environments.
- **Entity Type**: Private (Seed + Series A; $680M total funding)
- **Headquarters**: Palo Alto, CA, United States
- **Founded**: 2024
- **Founders**: Jagdeep Singh (CEO), Eric Chan (Chief Scientist), Changan Chen (Chief Research Officer), Andrew Wooten, Gordon Wetzstein (Scientific Advisor) [rhoda.ai/team](https://www.rhoda.ai/team)

## Core Business
- **Primary industry**: Robotics, Artificial Intelligence, Hardware
- **Target customers**: B2B – industrial enterprises in automotive, manufacturing, logistics, and e-commerce
- **Mission/purpose**: “Building at the frontier of embodied intelligence” and “Designing intelligence for the real world” – deploying general-purpose robot foundation models that adapt to the variability of commercial and industrial environments. [rhoda.ai](https://www.rhoda.ai/) | [linkedin.com](https://www.linkedin.com/company/rhoda-ai)

## Products & Services
- **Rhoda Robot Platform (Hardware + Software)**: A turnkey robotic system with custom actuators (25kg rated, 40kg peak payload), safety-rated vision, wheel-base, and brakes in every actuator. The platform runs the **Direct Video Action** model, which pre-trains on over a million real-world videos and post-trains on task-specific robot data. Long-context windows enable single-shot learning from human demonstrations without retraining. [rhoda.ai](https://www.rhoda.ai/)
- **FutureVision Intelligence Layer**: A proprietary architecture that handles real-world industrial tasks autonomously by generalizing beyond conventional VLA pipelines. [rhoda.ai](https://www.rhoda.ai/)
- **Deployment Services**: End-to-end solutions for tasks such as returns processing, bearing decanting, container breakdown, and material transport in logistics and e-commerce facilities. [rhoda.ai](https://www.rhoda.ai/)

## Market Standing
- **Valuation**: Not publicly disclosed
- **Key Metric**: Total funding **$680M** – Seed round $67.4M (April 2024), Series A $162.6M (April 2025), and Series A $450M (March 2026) with 4 investors. [linkedin.com](https://www.linkedin.com/company/rhoda-ai)
- **Notable Investors/Partners**: Not individually named in available sources; partners include customers in automotive, manufacturing, logistics, and e-commerce. [rhoda.ai](https://www.rhoda.ai/)
- **Growth Signals**: Headcount growth of **+20% monthly** (LinkedIn reports 55 employees; Built In reports 73 employees – conflicting data). Talent sourced from companies like QuantumScape, Flexiv Robotics, Scale AI, Google, Meta, NVIDIA, and Stanford University. [linkedin.com](https://www.linkedin.com/company/rhoda-ai) | [builtin.com](https://builtin.com/company/rhoda-ai)

## Competitive Advantages
- **Direct Video Action architecture** with web-scale video pre-training gives a strong prior on motion, physics, and dynamics, enabling generalization beyond lab settings.
- **Custom high-performance actuators** (25kg rated, 40kg peak) with safety-rated brakes and vision – designed for 3+ years of continuous operation at rated payload.
- **Long-context in-context learning** allows the robot to perform tasks single-shot from human demonstrations without retraining.
- **Turnkey industrial deployments** that handle ambiguity and variability (e.g., debris, transparent bags, heavy boxes) – tasks customers initially believed could not be automated. [rhoda.ai](https://www.rhoda.ai/)

## Strategic Focus
- Scaling robot intelligence through a pre-training/post-training paradigm, moving from controlled labs to reliable production environments.
- Expanding commercial deployments across automotive, manufacturing, logistics, and e-commerce verticals.
- Pursuing a path to **physical AGI** by combining foundation models with custom hardware for real-world adaptability. [rhoda.ai](https://www.rhoda.ai/)

## Why Work Here
- **Culture**: “Building at the frontier of embodied intelligence” – emphasis on hard problems, first-principles thinking, and category-defining systems. [linkedin.com](https://www.linkedin.com/company/rhoda-ai)
- **Work policy**: Hybrid workspace (employees combine remote and on-site work), with offices in Mountain View and Palo Alto, CA. [builtin.com](https://builtin.com/company/rhoda-ai)
- **Engineering culture**: Strong research focus (Chief Research Officer, Chief Scientist, many research engineers/scientists). Recent job postings include Research Scientist, Robot Perception Engineer, Mechanical Engineer, Fullstack Engineer, and Product Manager. [builtin.com](https://builtin.com/company/rhoda-ai)
- **Notable perks**: Not explicitly listed, but the company is well-funded ($680M) and at an early stage (founded 2024), offering significant growth opportunity and impact.

## Sources
1. [rhoda.ai](https://www.rhoda.ai/) – Company website (product, technology, commercial applications)
2. [rhoda.ai/careers](https://www.rhoda.ai/careers) – Careers page
3. [rhoda.ai/team](https://www.rhoda.ai/team) – Leadership team and co-founders
4. [builtin.com](https://builtin.com/company/rhoda-ai) – Built In profile (employee count, offices, job listings, hybrid policy)
5. [linkedin.com](https://www.linkedin.com/company/rhoda-ai) – LinkedIn company page (funding, headcount, executive list, talent sources)

## Other roles at Rhoda AI

- [Robotics Test Engineer](https://feeny.ai/job/robotics-test-engineer-rhoda-ai-mountain-view-fawz7jcaj9pv) — Mountain View, CA
- [Senior Data Project Manager](https://feeny.ai/job/senior-data-project-manager-rhoda-ai-mountain-view-3r8qd12vvp3g) — Mountain View, CA
- [Senior Hardware Reliability Engineer](https://feeny.ai/job/senior-hardware-reliability-engineer-rhoda-ai-mountain-view-tb5a3r2wpf2a) — Mountain View, CA
- [Supply Chain Manager](https://feeny.ai/job/supply-chain-manager-rhoda-ai-mountain-view-at62gnb3hppz) — Mountain View, CA
- [Robot Pilot](https://feeny.ai/job/robot-pilot-rhoda-ai-munich-ae615mvnydam) — Munich, Germany
- [Senior Fleet Software Engineer](https://feeny.ai/job/senior-fleet-software-engineer-rhoda-ai-mountain-view-bbmg1fzakq3b) — Mountain View, CA
- [Senior Electrical Engineer (Hands)](https://feeny.ai/job/senior-electrical-engineer-hands-rhoda-ai-mountain-view-63xfzs2xajpn) — Mountain View, CA
- [Research Member of Technical Staff- Robot Learning Systems & Reliability](https://feeny.ai/job/research-member-of-technical-staff-robot-learning-systems-reliability-rhoda-ai-azp0647ma7en) — Mountain View, CA
- [Strategic Finance Manager](https://feeny.ai/job/strategic-finance-manager-rhoda-ai-mountain-view-efncjc6jbpjr) — Mountain View, CA
- [Mechanical Design Structures Engineer](https://feeny.ai/job/mechanical-design-structures-engineer-rhoda-ai-mountain-view-89rw8s5e3rwd) — Mountain View, CA