ZipRecruiter

Log In

1

Fleet Engineer Salary Jobs (NOW HIRING)

Ag

Fleet Manager

Mobile, AL · On-site

Meet the Team: Our Engineers at the Airbus U.S. Manufacturing facility take our aircraft from ... Competitive base salary, incentive compensation which may include profit sharing schemes ...

Timmons Group, Inc.

Fleet Administrator

Richmond, VA

$60K - $80K/yr

Our best estimate of the salary range for this position is $60,000-$80,000. This position is ... Timmons Group is a full-service engineering and technology firm recognized nationally as a "Best ...

Timmons Group

Fleet Administrator

Richmond, VA · On-site

$60K - $80K/yr

Our best estimate of the salary range for this position is $60,000-$80,000. This position is ... Timmons Group is a full-service engineering and technology firm recognized nationally as a "Best ...

AMERICAN SYSTEMS

Engineer, Senior

Mclean, VA · On-site

$130K - $172K/yr

Demonstrated experience supporting Naval surface ships, shipboard systems, or fleet engineering ... The salary range for this position is USD $130,000.00/Yr. - USD $172,600/Yr. Actual compensation ...

AMERICAN SYSTEMS

Engineer, Senior

Mclean, VA · On-site

$130K - $172K/yr

Demonstrated experience supporting Naval surface ships, shipboard systems, or fleet engineering ... The salary range for this position is USD $130,000.00/Yr. - USD $172,600/Yr. Actual compensation ...

previous pagenext page

Showing results 21-40

All JobsFleet Engineer Salary Jobs

Fleet Engineer Salary information

See salary details

$38K

$90.5K

$150.5K

How much do fleet engineer salary jobs pay per year?

As of Aug 11, 2026, the average yearly pay for fleet engineer salary in the United States is $90,538.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,500.00 and $100,000.00 per year, depending on experience, location, and employer.

What is the average salary of a fleet engineer?

The average salary of a Fleet Engineer can vary depending on factors such as location, level of experience, and the size of the fleet being managed. In the United States, Fleet Engineers typically earn between $75,000 and $110,000 per year, with senior positions or those in high-demand regions commanding higher salaries. Benefits such as bonuses, healthcare, and retirement plans may also be included in the compensation package. Salaries can be higher in industries with complex or large-scale fleets, such as shipping, rail, or aviation.

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

To thrive as a Fleet Engineer, you need a strong background in mechanical or marine engineering, often supported by a relevant degree and experience in fleet maintenance or operations. Familiarity with fleet management systems, diagnostic tools, and relevant industry certifications such as STCW or ASE is typically required. Excellent problem-solving, organizational, and communication skills help in managing maintenance schedules and coordinating with crews and vendors. These competencies ensure the safe, efficient, and cost-effective operation of a fleet, minimizing downtime and maximizing performance.

What is the difference between Fleet Engineer Salary vs Fleet Supervisor?

AspectFleet EngineerFleet Supervisor
Required CredentialsEngineering degree, technical certificationsManagement certifications, leadership experience
Work EnvironmentTechnical, maintenance-focusedSupervisory, operational oversight
Employer & Industry UsageTransportation, logistics, fleet maintenanceFleet management, logistics companies

Fleet Engineers focus on technical aspects like vehicle maintenance and engineering, often requiring technical certifications. Fleet Supervisors oversee daily operations and personnel, emphasizing management skills. While both roles are integral to fleet operations, their core responsibilities and qualifications differ, making their salaries vary accordingly.

What are some common challenges faced by fleet engineers, and how do they typically address them?

Fleet engineers often encounter challenges such as managing maintenance schedules for large fleets, staying updated with evolving vehicle technologies, and ensuring compliance with safety and environmental regulations. To address these, they utilize fleet management software, collaborate closely with technicians and drivers, and participate in ongoing training. Effective communication and strong organizational skills are essential, as fleet engineers must coordinate repairs, monitor costs, and implement preventive maintenance strategies to minimize downtime.
More about Fleet Engineer Salary jobs
What cities are hiring for Fleet Engineer Salary jobs? Cities with the most Fleet Engineer Salary job openings:
What are the most commonly searched types of Fleet Engineer Salary jobs? The most popular types of Fleet Engineer Salary jobs are:
What states have the most Fleet Engineer Salary jobs? States with the most job openings for Fleet Engineer Salary jobs include:
What job categories do people searching Fleet Engineer Salary jobs look for? The top searched job categories for Fleet Engineer Salary jobs are:
Fleet Engineer Salary jobs near you
Infographic showing various Fleet Engineer Salary job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $90,538 per year, or $43.5 per hour.

Staff Engineer, Distributed Storage and HPC & AI Infrastructure

Together AI

San Francisco, CA • On-site

$250K - $300K/yr

Full-time

Medical

Re-posted 7 days ago

Job description

About the Role
In this role, you will operate, scale, and optimize multi-petabyte storage systems purpose-built for the world's largest AI training and inference workloads. You'll manage and scale high-performance parallel filesystems and object stores, evaluate and integrate cutting-edge technologies such as Vast, Weka, Ceph, and Lustre, and solve the complex engineering challenges of operating at extreme throughput, low-latency data paths, and massive cluster-scale storage operations.
You will also build Kubernetes-native storage operators and self-service platforms that provide automated provisioning, strict multi-tenancy, performance isolation, and quota enforcement at cluster scale. Day-to-day, you'll optimize end-to-end data paths for 10-50 GB/s per node, design multi-tier caching architectures, implement intelligent prefetching and model-weight distribution, and tune parallel filesystems for AI workloads.
Responsibilities
  • Architect and implement the technical strategy and storage roadmap for Together AI, driving high-performance architectural decisions as we scale our GPU fleet.
  • Engineer and scale multi-petabyte AI/ML storage systems by integrating Vast, Weka, and Ceph while executing deep cost optimization through automated tiering and lifecycle policies.
  • Develop intelligent caching and tiered storage architectures to achieve extreme IOPS and cluster-wide throughput at GPU scale for training and inference workloads.
  • Tune storage isolation at the L2/L3 network layers to ensure secure, production-grade multi-tenancy for storage clients.
  • Code Kubernetes storage operators and controllers to enable automated provisioning, self-service abstractions, and quota enforcement.
  • Engineer end-to-end data paths to achieve 10+ GB/s per GPU node; architect multi-tier caching for model weights and datasets; tune parallel filesystems using advanced profiling; and scale storage infrastructure across thousands of nodes.
  • Optimize end-to-end data paths through advanced benchmarking and profiling, contributing high-impact code to open-source storage projects and internal tooling.
Requirements
  • 8+ years in storage engineering, managing distributed storage at multi-petabyte scale
  • Proven track record deploying and operating high-performance storage for GPU/HPC clusters
  • Deep Kubernetes and cloud-native storage experience in production environments
  • Strong coding skills in Go and Python with demonstrated ability to build production-grade systems and tooling
  • BS/MS in Computer Science, Engineering, or equivalent practical experience
  • History of technical leadership: designing systems that significantly improved performance, reliability (99.999%+ uptime), or cost efficiency
  • Distributed Storage Systems: Deep expertise in either of Ceph, WekaFS, Lustre, Vast, GPFS, or similar parallel filesystems at multi-petabyte scale
  • Object Storage: Production experience with S3, MinIO, Ceph, or R2 including performance optimization and cost management
  • Kubernetes Storage: CSI drivers, StatefulSets, PersistentVolumes, storage operators, and custom controllers
  • Storage optimization for GPU workloads, RDMA/InfiniBand networking, parallel filesystem optimization (TB/s aggregate cluster throughput - line saturation)
  • Programming: Go and Python for automation, operators, and tooling
  • Infrastructure as Code: Terraform, Ansible, Helm, GitOps (ArgoCD)
  • Linux Storage Stack: Advanced knowledge of filesystems (ext4, xfs), LVM, NVMe optimization, RAID configurations
  • Observability: Prometheus, Grafana, Thanos architecture and operations
Nice to Have Skills
  • GPU Direct Storage (GDS), NVMe-oF, storage networking, RDMA implementations
  • ML/AI storage patterns (model weights, checkpointing, dataset caching)
  • Storage benchmarking and profiling tools (fio, iperf3, iostat, blktrace).
About Together AI
Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.
Compensation
We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $250,000 - $300,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
Equal Opportunity
Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
Please see our privacy policy at https://www.together.ai/privacy

Apply