---
title: 'Fleet Engineer at Diligent Robotics'
canonical: 'https://feeny.ai/job/fleet-engineer-diligent-robotics-austin-texas-dc9re7wqn7jx'
type: 'job'
last_seen: '2026-09-09'
---

# Fleet Engineer at Diligent Robotics

- **Company:** Diligent Robotics
- **Location:** Austin Texas, United States
- **Posted:** 2026-06-05
- **Last confirmed live:** 2026-09-09
- **Apply:** https://job-boards.greenhouse.io/diligentrobotics/jobs/7765134003

## Job description

What we’re doing isn’t easy, but nothing worth doing ever is.

Diligent builds helpful robots that work safely and autonomously in real world environments. We move quickly, solve messy problems, and care deeply about reliability at scale. As a Fleet Engineer, you'll own the reliability and continuous improvement of our deployed robotic fleet — leading hands-on investigations into how and why robots fail in the field, across the mobile base, charging/docking, motion and power, connectivity (modem), and sensor hardware. You'll combine remote data analysis with bench/lab failure analysis at our Austin HQ, turning field-technician reports and fleet data into clear problem statements, validated root causes, and corrective actions driven to closure with engineering, operations, manufacturing, and vendors.

This role is based in Austin, TX. It will require 15-20% travel along with close collaboration across software, hardware, operations, and product engineering teams.

## Key Responsibilities

- Fleet Reliability & Hands-On Debugging: Lead triage and bench/lab failure analysis across the mobile base, charging/docking, motion and power, connectivity, and sensor hardware — getting hands-on with returned units to reproduce, instrument, and isolate the failure.
- Root Cause Analysis: Diagnose failures from component level (electrical, mechanical, firmware) to system level, applying standard methodologies (5-why, fishbone, fault-tree, FMEA, 8D).
- Data-Driven Investigation: Pull and analyze fleet data and logs to define problem statements, surface trends, and validate hypotheses quantitatively — accounting for confounding factors, base rates, and sample size.
- Field Synthesis & On-Call: Turn field-technician reports into crisp problem statements; own escalated issues (on-call) to support the field team and minimize downtime.
- Corrective Action & Cross-Functional: Drive short- and long-term fixes (hardware, software, operational, process) to closure with engineering, operations, and product — including supplier corrective actions and design feedback with vendors and manufacturing.
- Tooling & Test Infrastructure: Build the fixtures, instrumentation, and bench test setups that accelerate debug workflows.
- Documentation & Standards: Document debugging procedures and root-cause findings; contribute to fleet reliability standards.
- Growth: Raise the team's investigative rigor, work closely with technicians, and grow into mentoring over time.

What Success Looks Like

- Improved FPY and reduced rework rates across production builds.
- Reduced per-unit cycle time for test/provisioning while increasing test coverage.
- Stable, fully automated provisioning flow with minimal manual intervention.

## Basic Qualifications

- Hands-on electrical debugging — schematics, multimeter/oscilloscope, power, connector and harness fault isolation, basic instrumentation.
- Hands-on mechanical debugging — mechanisms, tolerances and fits, fixturing, dimensional/force measurement, mechanical drawings; able to pinpoint what is physically wrong with a unit.
- Hypothesis-driven, quantitative debugging — frame the problem, design discriminating tests, reason about confounding factors, base rates, and sample size, and update conclusions when the evidence contradicts them.
- System log analysis — read raw system/robot logs to reconstruct events and isolate failures (the backbone of most investigations).
- End-to-end versatility — comfortable across subsystems, running an investigation independently to conclusion.
- 3+ years in robotics, autonomous vehicles, or complex electro-mechanical systems — or an adjacent field (medical devices, industrial automation, semiconductor and capital-equipment field service, automotive or aerospace Maintenance/Repair/Overhaul, EV charging). 5+ years / senior scope preferred.
- Bachelor's in Electrical, Mechanical, Mechatronics, Robotics, or a related engineering field (required); Master's a plus.

## Preferred Qualifications

- Experience with robotics stacks (ROS or equivalent) and robotic sensor calibration/test.
- Experience with deployed robot or autonomous-vehicle fleets.
- Networking (Ethernet, CAN bus, time-sync) and firmware familiarity.
- Driving supplier corrective actions and design feedback with vendors and manufacturing.
- Hardware-in-the-loop test and validation-rig design.
- Compute platforms (NVIDIA Jetson/Orin, GPUs).

## About Diligent Robotics

## Company Overview
- **One-liner**: Diligent Robotics builds AI-powered robot assistants, like Moxi, that work alongside healthcare teams to handle routine logistical tasks, freeing up clinicians to focus on patient care.
- **Entity Type**: Private (Acquired by Serve Robotics in January 2026)
- **Headquarters**: Austin, Texas, United States
- **Founded**: 2017
- **Founders**: Andrea Thomaz (CEO & Co-Founder) and Vivian Chu (Chief Innovation Officer & Co-Founder)

## Core Business
- **Primary industry/industries**: Healthcare Robotics, Artificial Intelligence, Human-Robot Interaction
- **Target customers**: Hospitals and healthcare systems (B2B/Enterprise)
- **Mission or purpose statement**: To restore focus to patient care in hospitals by deploying robot teammates that handle non-patient-facing tasks, enabling clinical staff to dedicate more time to patients.

## Products & Services
- **[Moxi]**: A social robot designed for hospitals that autonomously performs secure, 24/7 deliveries of medications, labs, and other supplies. Moxi integrates with clinical programs like Meds-to-Beds and uses mobile manipulation, social intelligence, and human-guided learning to navigate dynamic hospital environments.

## Market Standing
- **Valuation/Market Cap**: Acquired by Serve Robotics in January 2026 at a valuation between $29 million and $34.4 million [cbinsights.com](https://www.cbinsights.com/company/diligent-robotics).
- **Total Funding**: Raised a total of $125.76M prior to acquisition [cbinsights.com](https://www.cbinsights.com/company/diligent-robotics).
- **Notable Investors/Partners**: True Ventures, DNX Ventures, Serve Robotics, AgeTech Collaborative, Physical AI Fellowship, and over 20 other investors [cbinsights.com](https://www.cbinsights.com/company/diligent-robotics).
- **Growth Signals**: 
  - Moxi has delivered 9,900+ labs at UTMB Angleton Danbury [diligentrobots.com](https://www.diligentrobots.com/).
  - Returned 595+ days worth of time to nurses at Mary Washington Healthcare [diligentrobots.com](https://www.diligentrobots.com/).
  - Saved the Pharmacy department at Shannon Health 6,350 hours [diligentrobots.com](https://www.diligentrobots.com/).

## Competitive Advantages
- **Pioneer in Social Robotics**: Founders are leading experts in human-robot interaction, with research roots at MIT, Georgia Tech, and the University of Texas at Austin.
- **Proven Clinical Impact**: Moxi is already deployed in live hospital environments with measurable outcomes (thousands of hours returned to staff, thousands of deliveries completed).
- **Human-Guided Learning**: Unlike simple autonomous vehicles, Moxi uses AI to learn and adapt to dynamic, human-filled hospital settings, making it a true teammate rather than a tool.
- **Acquisition by Serve Robotics**: The acquisition provides a larger platform and resources for scaling, while validating the technology and market fit.

## Strategic Focus
- **Scaling hospital deployments**: Expanding Moxi’s presence in healthcare systems across the U.S., with active roles in Columbus, OH; Chicago, IL; and Rochester, NY [greenhouse.io](http://job-boards.greenhouse.io/diligentrobotics).
- **Deepening clinical integration**: Working with clinical and operations experts to streamline processes, reduce costs, and initiate new revenue opportunities such as centralized telemetry and supply chain.
- **Advancing AI and manipulation**: Continuing to improve mobile manipulation, autonomous navigation, and social intelligence capabilities through R&D.

## Why Work Here
- **Mission-driven culture**: Employees directly contribute to reducing burnout in healthcare by giving nurses and clinicians more time with patients.
- **Cutting-edge technology**: Work on state-of-the-art AI, robotics, and human-robot interaction in a fast-paced startup environment where your work goes live in hospitals today, not years in the future.
- **Collaborative team**: Join a venture-backed, mission-driven team with leading experts in the field.
- **Remote-friendly**: Many roles (e.g., Founding Sr. Data Engineer, ML Engineer, Sr. ML Engineer) are open to candidates anywhere in the US [greenhouse.io](http://job-boards.greenhouse.io/diligentrobotics). On-site roles available in Austin, TX, and field operations roles in various cities.
- **Competitive compensation**: Offers competitive salary, equity, and health plan coverage for individuals and dependents.
- **Diversity & inclusion**: An equal opportunity employer that values diversity and does not discriminate on any basis.

## Sources
1. [diligentrobots.com](https://www.diligentrobots.com/)
2. [diligentrobots.com - About](https://www.diligentrobots.com/about)
3. [diligentrobots.com - Careers](https://www.diligentrobots.com/join-our-team-1)
4. [greenhouse.io - Jobs](http://job-boards.greenhouse.io/diligentrobotics)
5. [cbinsights.com - Diligent Robotics](https://www.cbinsights.com/company/diligent-robotics)

## Other roles at Diligent Robotics

- [Client Success Manager](https://feeny.ai/job/client-success-manager-diligent-robotics-los-angeles-california-s1qw3awwvtwp) — Los Angeles California, United States
- [Part Time - Clinical Robot Associate - Dallas, TX (on-site, weekends)](https://feeny.ai/job/part-time-clinical-robot-associate-dallas-tx-on-site-weekends-diligent-robotics-md62jcxr65fq) — Dallas Texas, United States
- [Part Time - Clinical Robot Associate - Los Angeles, CA (on-site, overnight)](https://feeny.ai/job/part-time-clinical-robot-associate-los-angeles-ca-on-site-overnight-diligent-2nj5ytvqzayb) — Los Angeles California, United States
- [Manufacturing Reliability Engineer (Austin, TX; 50% travel to Milwaukee, WI)](https://feeny.ai/job/manufacturing-reliability-engineer-austin-tx-50-travel-to-milwaukee-wi-diligent-txhv59vxypmp) — Austin Texas, United States
- [Field Service Technician](https://feeny.ai/job/field-service-technician-diligent-robotics-chicago-1qp03f8key11) — Chicago, IL
- [Technical Support Specialist - Robotics](https://feeny.ai/job/technical-support-specialist-robotics-diligent-robotics-austin-texas-zbvrz5wvg3zb) — Austin Texas, United States
- [Senior Product Manager, Robotics & Autonomy](https://feeny.ai/job/senior-product-manager-robotics-autonomy-diligent-robotics-austin-texas-cwgfpjw9cedj) — Austin Texas, United States
- [Lead Clinical Robot Associate - Rochester, NY (On-Site)](https://feeny.ai/job/lead-clinical-robot-associate-rochester-ny-on-site-diligent-robotics-rochester-p9w1sfypf160) — Rochester New York, United States
- [Lead Clinical Robot Associate - Durham, NC (On-Site)](https://feeny.ai/job/lead-clinical-robot-associate-durham-nc-on-site-diligent-robotics-durham-north-1yfk795zzh1e) — Durham North Carolina, United States
- [Part Time - Clinical Robot Associate - Rochester, NY (on-site, overnight)](https://feeny.ai/job/part-time-clinical-robot-associate-rochester-ny-on-site-overnight-diligent-fwyv80mw25c2) — Rochester New York, United States