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Fleet Reliability Engineer Jobs in California (NOW HIRING)

Specter

Fleet Reliability Engineer

San Francisco, CA · On-site

$120K - $152K/yr

The Role We're hiring a Fleet Reliability Engineer to keep our sensor fleet running in the field by building the data, analytics, and recovery mechanisms that prevent failures from becoming incidents.

Doist

Fleet Reliability Engineer

Redwood City, CA · On-site

$125 - $150/hr

# Fleet Reliability EngineerDyna Robotics • • • 14h agoSave this role or tell us whether you ... Our team brings together engineers and researchers from Google, Meta, Apple, Amazon, Cruise, Aurora ...

Nuro

Software Reliability Engineer

Mountain View, CA · On-site

$132K - $240K/yr

About the Team The Robotics Reliability Engineering (RRE) team at Nuro focuses on fleet reliability as our AV capabilities and operating footprint grow. We work across software, hardware ...

Nuro

Software Reliability Engineer

San Francisco, CA

$132K - $240K/yr

About the Team The Robotics Reliability Engineering (RRE) team at Nuro focuses on fleet reliability as our AV capabilities and operating footprint grow. We work across software, hardware ...

Nuro

Software Reliability Engineer

Mountain View, CA · On-site

$132K - $240K/yr

About the Team The Robotics Reliability Engineering (RRE) team at Nuro focuses on fleet reliability as our AV capabilities and operating footprint grow. We work across software, hardware ...

Openmind

Reliability Engineer

San Francisco, CA · On-site

$120K - $152K/yr

Build fleet observability: telemetry ingestion, automated log collection, and AI-assisted scoring ... Experience in reliability engineering, test infrastructure, SRE, or simulation for autonomous ...

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Fleet Reliability Engineer information

What is a fleet reliability engineer?

Fleet Reliability Engineers are professionals who focus on ensuring that a company's fleet of vehicles, equipment, or machinery operates reliably and efficiently. They analyze performance data, identify trends in failures or maintenance needs, and develop strategies to improve uptime and reduce costs. Their work often involves collaborating with maintenance teams, implementing predictive maintenance programs, and recommending process improvements. Fleet Reliability Engineers play a crucial role in maximizing asset availability and extending the lifespan of fleet assets.

What are the key skills and qualifications needed to thrive as a fleet reliability engineer?

To thrive as a Fleet Reliability Engineer, you need a solid background in mechanical, electrical, or industrial engineering, along with experience in maintenance strategies and reliability analysis. Familiarity with Computerized Maintenance Management Systems (CMMS), predictive analytics tools, and reliability-centered maintenance (RCM) methodologies is essential. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with cross-functional teams and implement solutions efficiently. These skills and qualities are vital to maximize fleet uptime, optimize maintenance costs, and ensure safe and reliable operations.

How does a fleet reliability engineer typically collaborate with other departments to improve vehicle uptime?

Fleet Reliability Engineers work closely with maintenance teams, operations managers, and data analysts to monitor vehicle performance and address recurring issues. They participate in cross-functional meetings to review failure trends, propose preventative maintenance strategies, and implement engineering solutions that enhance reliability. Effective collaboration involves clear communication, sharing technical insights, and aligning on goals to minimize downtime and optimize fleet efficiency.

What is the difference between Fleet Reliability Engineer vs Maintenance Engineer?

AspectFleet Reliability EngineerMaintenance Engineer
CredentialsEngineering degree, certifications in reliability or asset managementEngineering or technical degree, certifications in maintenance or safety
Work EnvironmentFocus on fleet-wide reliability, data analysis, and preventative strategiesHands-on equipment repair, troubleshooting, and maintenance tasks
Industry UsageCommon in transportation, logistics, and fleet management companiesFound across manufacturing, facilities, and equipment-intensive industries

While both roles require engineering knowledge and technical skills, Fleet Reliability Engineers focus on optimizing the reliability and performance of entire vehicle fleets through data analysis and strategic planning. Maintenance Engineers are more involved in direct repair and maintenance of equipment. The roles complement each other but differ in scope and daily responsibilities.

What cities in California are hiring for Fleet Reliability Engineer jobs?

Cities in California with the most Fleet Reliability Engineer job openings:

Infographic showing various Fleet Reliability Engineer job openings in California as of August 2026, with employment types broken down into 88% Full Time, 5% Part Time, 2% Temporary, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Fleet Reliability Engineer

San Francisco, CA • On-site

Specter
See more jobs at Specterexternal

$120K - $152K/yr

Full-time

Re-posted 29 days ago

Job description

Company BackgroundSpecter's mission is to help automate the physical world.
Today, we build video sensors with state-of-the-art AI agents that answer any question, anywhere in their environments. Our systems can automatically detect and reason about any physical activity captured on camera, from security incidents (e.g. perimeter intrusion, theft, LPR), to safety monitoring (e.g. PPE detection, injured people), to operational efficiency (e.g. material tracking, congestion monitoring). We offer both long range wireless (1km range) and wired sensor variants to suit any deployment.
Our co-founders Xerxes and Philip are passionate about empowering our partners in the fast approaching world of physical AI and robotics. We are a small, fast growing team who hail from Anduril, Tesla, Uber, and the U.S. Special Forces.
The RoleWe're hiring a Fleet Reliability Engineer to keep our sensor fleet running in the field by building the data, analytics, and recovery mechanisms that prevent failures from becoming incidents. As we scale toward thousands of sensors, fleet health becomes a data-and-systems problem.
This is the proactive, highest-leverage side of reliability: own the telemetry and data pipeline, verify that fixes hold fleet-wide, and turn field signal into cost-weighted decisions about what to fix first. Much of today's operational load is addressable through better instrumentation, alert hygiene, and recovery verification, at little to no field cost.
Responsibilities:
Reliability Data Platform - Primary
  • Own the fleet's reliability data pipeline end to end: telemetry aggregation, storage, and instrumentation.
  • Drive down observability cost - own the tooling spend and cut what we pay for but don't use.
  • Instrument the fleet and own the health metrics that measure reliability.

Proof-of-Recovery & Alert Hygiene
  • Verify that fixes hold fleet-wide, not just on the device that paged.
  • Cut alert noise at the source - separate real failures from self-resolving ones.
  • Turn repeat failure patterns into automated detection and recovery.

Fleet Health & Failure-Mode Analytics
  • Turn fleet telemetry into a live picture of which cohorts, hardware revisions, and firmware versions are trending toward failure, and why.
  • Build the failure-mode analysis that tells engineering what to fix at the source.
  • Own fleet-wide trend and forecasting work, including power and solar planning.

Reliability Economics & Prioritization
  • Score reliability work in dollars - field-trip cost, hardware-return cost, observability spend - and prioritize the most expensive problems first.
  • Set and track the fleet's reliability targets: uptime, offline rate, truck-rolls per sensor-year.
  • Give the team the data to make reliability-versus-cost tradeoffs.
Qualifications:
  • Strong data and software skills - Python (or Go) and SQL - and the ability to own a data pipeline end to end.
  • Hands-on building and tuning observability stacks (OpenTelemetry, Grafana, Prometheus, Datadog, or similar), including their cost.
  • Experience operating physical or embedded device fleets at scale, and reasoning about how hardware fails in the field.
  • Comfortable turning messy field telemetry into trends, failure modes, and forecasts.
  • Fluency with databases and data modeling (PostgreSQL or equivalent); infrastructure-as-code familiarity (Terraform or similar) a plus.
  • Bias toward building mechanisms over doing manual work.
  • Nice to have: reliability/SRE fundamentals (SLOs, error budgets, proof-of-recovery) applied to a physical fleet.
  • Nice to have: experience across the hardware-software boundary - power, connectivity, and physical failure modes.

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