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Fleet Reliability Engineer Jobs in California (NOW HIRING)

Waymo

Site Reliability Engineer, Lead

Mountain View, CA · Hybrid

$67.25 - $89.25/hr

As the Pipeline SRE Lead, you will play a key role in driving the reliability of our most critical ... fleet of autonomous vehicles operating in multiple cities. The challenges of ensuring reliability ...

Picogrid

Site Reliability Engineer

El Segundo, CA · On-site

$170K - $195K/yr

About the Role As Picogrid's first Site Reliability Engineer you will own production reliability ... IoT or edge fleet operation experience * Comfortable operating in scrappy, fast‑paced ...

Picogrid, Inc.

Site Reliability Engineer

El Segundo, CA · On-site

$170K - $195K/yr

... a fleet of hardware edge devices in the field. You will help build and define the systems ... as an SRE or related roles Deep Kubernetes operations experience: node lifecycle, workload ...

Socket.dev

Site Reliability Engineer, Lead

Mountain View, CA · On-site

$298K - $368K/yr

As the Pipeline SRE Lead, you will play a key role in driving the reliability of our most critical ... fleet of autonomous vehicles operating in multiple cities. The challenges of ensuring reliability ...

New

Picogrid

Site Reliability Engineer

El Segundo, CA · On-site

$170K - $195K/yr

About the Role As Picogrid's first Site Reliability Engineer you will own production reliability ... IoT or edge fleet operation experience * Comfortable operating in scrappy, fast-paced environments ...

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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.

Site Reliability Engineer, Lead

Mountain View, CA • Hybrid

Waymo
Internet and IT • 1 - 5K employees
Learn more about Waymoexternal

$67.25 - $89.25/hr

Full-time

Posted 7 days ago

Job description

As the Pipeline SRE Lead, you will play a key role in driving the reliability of our most critical release pipelines. 
You'll lead the strategy and execution for observability, incident management, capacity planning, and continuous improvement of our production systems. You will be accountable for the response to novel, rare, or unexpected events encountered during our software release process. This includes both spearheading timely investigations and resolutions, as well as proactively partnering with engineering to evolve our software system to enhance their robustness and adaptability.

This unique role encompasses planet scale software delivery systems which underpin our rapidly growing and evolving fleet of autonomous vehicles operating in multiple cities. The challenges of ensuring reliability at our scale and pace is unprecedented. If you are a hands-on SRE lead, with strong software engineering skills,  who is passionate about solving first-of-their-kind problems with significant real-world impact, we'd like to meet you.  

This role follows a hybrid work schedule and reports to the Head of Planner within the Onboard organization.   

You will:

  • Drive incident response processes, retrospectives, and continuous improvement to prevent recurring issues. Organize and participate in on call rotations for release oriented outages, along with disaster recovery planning and business continuity
  • Harden software, develop playbooks, improve oncall metrics and post-mitigation workstreams, and improve robustness of the software system running our most critical release processes
  • Lead the engineering analysis and response to novel, rare or unexpected events encountered during our development analysis cycle.
  • Champion a culture of reliability engineering across the organization, including partnering with organization leads and others across the Onboard, Eval and Simulator organization to educate and improve large-scale software engineering best practices.
  • Contribute to system software architecture to help improve its robustness and debuggability

You have:

  • Master's degree or PhD in Computer Science, Engineering, or a related technical field
  • 10+ years of experience working on large-scale production software systems, especially machine learned systems
  • 10+ years on hands on coding experience with C++
  • Experience organizing and running oncall rotations
  • Excellent influence without authority skills
  • Organizational awareness, extremely collaborative, strong communication, focus on value add to the company and to the team
  • Deep expertise in architecting large scale distributred systems, observability tools, monitoring systems, and incident management practices
  • Strong background in distributed systems, cloud infrastructure, and production operations at scale
  • Proficiency with automation, infrastructure and modern DevOps/SRE tooling
  • Track record of improving system reliability through data-driven approaches and systematic problem-solving

We prefer:

  • Experience leading hybrid hardware/software production systems
  • Experience leading teams who work on modern deep ML / large scale models
  • Track record of bringing about change in 1000+ person engineering organizations

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