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Fleet Reliability Engineer

Job in Arlington, Arlington County, Virginia, 22201, USA
Listing for: Quartermaster AI Inc
Full Time position
Listed on 2026-08-14
Job specializations:
  • Engineering
    Systems Engineer, Hardware Engineer
Job Description & How to Apply Below

Quartermaster Fleet Reliability Engineer

Quartermaster is building a live, real-time picture of the world's oceans. Our distributed sensor network turns ordinary civil and commercial vessels into intelligent nodes, delivering HD video, signal intelligence, and AI-powered insights that help coast guards, navies, insurers, energy operators, and researchers monitor, detect, and respond across global waters.

At the center of the network is Smart Mast™ — a ruggedized, vessel-mounted sensor package that installs on any vessel over 20 GT. Each unit combines a 360°/31x optical and infrared camera array (IP68-rated), dual software-defined radios, an onboard AI compute module, a configurable powerpack, and resilient global SATCOM that pushes data to users anywhere in under five seconds. We have deployed 600+ sensors across more than 25 countries, and our fleet has traveled over 10 million nautical miles.

As the fleet scales, keeping every deployed Smart Mast healthy, connected, and producing reliable data at sea is mission-critical. We are hiring our first dedicated Fleet Reliability Engineer to own that outcome.

Fleet Health & Monitoring
  • Own fleet-wide reliability metrics — uptime, availability, MTBF, MTTR, data-yield, and failure rates by component and by deployment environment — and report them to engineering and leadership.
  • Build and refine dashboards, alerting, and telemetry pipelines that surface degrading units (power, thermal, connectivity, camera, radio, compute) before they go offline.
  • Define what "healthy" means for each subsystem and set the thresholds that trigger proactive intervention.
Failure Analysis & Continuous Improvement
  • Lead root-cause analysis (RCA) on field failures, from telemetry forensics through physical teardown of returned units.
  • Maintain the fleet failure database and drive FMEA, reliability growth tracking, and corrective/preventive action (CAPA) to closure.
  • Close the loop with hardware, firmware, and manufacturing teams — translating field failures into design-for-reliability, component-selection, and firmware changes.
Field Service, Maintenance & Logistics
  • Define preventive maintenance schedules, spares strategy, and the RMA / repair-and-return process for a globally distributed fleet.
  • Update installation, diagnostic, and field-repair procedures and troubleshooting guides used by internal technicians and partner crews.
  • Support field deployments and complex repairs directly, including periodic travel to vessels, ports, and installation sites.
Reliability Engineering & Scale
  • Work with the hardware team to establish environmental and life-test protocols (vibration, salt-fog/corrosion, thermal, ingress, power) to qualify hardware and predict field life before deployment.
  • Feed reliability requirements and acceptance criteria into new hardware revisions and supplier qualification.
  • Design the reliability processes and tooling so they scale as the fleet grows into the thousands of units.
Minimum Requirements
  • Bachelor's degree in Electrical, Mechanical, Systems, Reliability, or a related engineering discipline — or equivalent hands-on experience.
  • 5+ years of engineering experience with deployed electro-mechanical hardware, at least 2 of which are in reliability, sustaining/field engineering, or hardware operations for a fielded product.
  • Demonstrated ownership of hardware reliability outcomes for a fleet or installed base — you have been directly responsible for uptime, failure rates, or MTBF/MTTR of real hardware in the field.
  • Hands-on proficiency with root-cause analysis methods (8D, 5-Whys, fishbone) and reliability tools such as FMEA, fault-tree analysis, and CAPA.
  • Practical experience diagnosing electro-mechanical systems using telemetry/logs, bench instruments, and physical teardown.
  • Data fluency: able to query, analyze, and visualize fleet telemetry using SQL and Python (or equivalent) to find trends and drive decisions.
  • Working knowledge of electronics, power systems, and mechanical enclosures, and the failure modes of hardware operating in harsh outdoor environments.
  • Willingness and ability to travel periodically to field sites (vessels, ports, installation locations), including occasional…
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