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Ai Infrastructure Jobs in Federal Way, WA (NOW HIRING)

AI Infrastructure Operations Engineer

Seattle, WA · Hybrid

$122K - $160K/yr

The Global AI Infrastructure team enables resilient, high-performance compute environments for strategic clients across cloud, on-premises, and hybrid deployments. We design, build, and operate large ...

Infrastructure Engineer

Seattle, WA · On-site

$130K - $225K/yr

About Overland AI Founded in 2022 and headquartered in Seattle, Washington, Overland AI is ... As an infrastructure engineer, you'll design, build, and secure the platforms that power our ...

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Ai Infrastructure information

See Federal Way, WA salary details

$31

$66

$97

How much do ai infrastructure jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for ai infrastructure in Federal Way, WA is $66.09, according to ZipRecruiter salary data. Most workers in this role earn between $53.70 and $77.07 per hour, depending on experience, location, and employer.

What is AI infrastructure?

AI infrastructure refers to the combination of hardware, software, and cloud-based solutions that support the development, deployment, and scaling of artificial intelligence applications. It includes components such as GPUs, CPUs, storage systems, networking, data management tools, and machine learning frameworks. The goal of AI infrastructure is to provide the computational power and resources needed to train, test, and run AI models efficiently, whether on-premises or in the cloud. Organizations invest in robust AI infrastructure to accelerate innovation, manage large datasets, and ensure the reliability of their AI systems.

What are the key skills and qualifications needed to thrive in AI infrastructure?

To thrive in AI Infrastructure, you need expertise in software engineering, distributed systems, cloud platforms, and a solid understanding of machine learning workflows, often supported by degrees in computer science or related fields. Familiarity with tools like Kubernetes, Docker, Terraform, and cloud services (AWS, GCP, Azure), as well as experience with CI/CD pipelines and monitoring systems, is essential. Strong problem-solving abilities, effective communication, and adaptability help professionals excel in cross-functional teams and rapidly evolving environments. These skills and qualities are crucial for building scalable, reliable systems that power AI applications and support organizational innovation.

What are common challenges faced by professionals working in AI infrastructure roles, and how can they be addressed?

Professionals in AI Infrastructure roles often encounter challenges related to scalability, system reliability, and integration with existing IT environments. Managing rapidly growing datasets and ensuring seamless deployment of machine learning models can be complex, requiring robust automation and monitoring tools. Collaboration with data scientists, software engineers, and DevOps teams is critical to ensure infrastructure meets the evolving needs of AI projects. Staying updated with the latest cloud technologies and best practices can help address these challenges and drive successful AI implementations.

What is the difference between Ai Infrastructure vs Data Engineer?

AspectAi InfrastructureData Engineer
Required CredentialsBachelor's in CS, Engineering, or related; knowledge of cloud platforms and AI toolsBachelor's in CS, Data Science, or related; programming and database skills
Work EnvironmentCloud environments, AI model deployment, infrastructure setupData pipelines, database management, data processing
Employer & Industry UsageTech companies, AI startups, cloud providersTech firms, finance, healthcare, e-commerce

Ai Infrastructure professionals focus on building and maintaining the hardware and software systems that support AI models, while Data Engineers develop and manage data pipelines and databases. Both roles require technical skills and often collaborate but serve different core functions within AI and data ecosystems.

What are AI infrastructure jobs?

AI infrastructure jobs involve designing, building, and maintaining the hardware, software, and network systems necessary to support artificial intelligence applications. These roles often require knowledge of cloud computing, data centers, machine learning frameworks, and system optimization to ensure reliable and efficient AI model deployment and operation.

What are popular job titles related to Ai Infrastructure jobs in Federal Way, WA?

For Ai Infrastructure jobs in Federal Way, WA, the most frequently searched job titles are:

What job categories do people searching Ai Infrastructure jobs in Federal Way, WA look for?

The top searched job categories for Ai Infrastructure jobs in Federal Way, WA are:

What cities near Federal Way, WA are hiring for Ai Infrastructure jobs?

Cities near Federal Way, WA with the most Ai Infrastructure job openings:

Infographic showing various Ai Infrastructure job openings in Federal Way, WA as of August 2026, with employment types broken down into 75% Full Time, 23% Part Time, and 2% Contract. Highlights an 62% Physical, 5% Hybrid, and 33% Remote job distribution, with an average salary of $137,474 per year, or $66.1 per hour.

AI Infrastructure Engineer

Zoom Video Communications, Inc.

Seattle, WA • On-site

$332K/yr

Full-time

Re-posted 22 days ago


Key responsibilities

  • Design and develop scalable AI infrastructure solutions for training and deploying large language models

  • Build and optimize distributed training platforms using advanced technologies

  • Implement and maintain containerized AI environments using Docker and Kubernetes


Job description

What you can expect
We are seeking an experienced AI Infrastructure Engineer to join our AI Incubation team. You will be focused on building and optimizing large-scale training infrastructure for Large Language Models (LLMs). The ideal candidate will combine engineering fundamentals with practical experience in AI infrastructure development, demonstrating both technical depth and the ability to deliver scalable solutions for complex AI systems.
About the Team
The AI incubation team is dedicated to incubating AI breakthroughs, including foundational AI techniques and AI native applications that will largely improve people's work productivity.
Responsibilities:
  • Designing and developing scalable AI infrastructure solutions for training and deploying large language models
  • Building and optimizing distributed training platforms using cutting-edge technologies
  • Implementing and maintaining containerized AI environments using Docker and Kubernetes
  • Optimizing CUDA kernels for maximum GPU utilization and performance
  • Developing platform software to support AI/ML workflows
  • Collaborating with AI researchers to implement efficient training and inference pipelines

What we're looking for
  • Have a bachelor's degree in Computer Science, Engineering, AI, Machine Learning, Distributed System or related field
  • 5+ years of software engineering experience with focus on infrastructure and systems
  • Have expertise in GPU programming and CUDA optimization
  • Have experience with container technologies (Docker, Kubernetes), distributed systems and cloud computing
  • Demonstrate experience building large-scale distributed systems and optimizing neural network performance
  • Possess programming skills in Python, C++, and CUDA, with deep learning frameworks (PyTorch, Transformers)

Salary Range or On Target Earnings:
Minimum:
$151,800.00
Maximum:
$332,200.00
In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.
Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.
We also have a location based compensation structure; there may be a different range for candidates in this and other locations.
Ways of Working
Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.
Benefits
As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learn for more information.
About Us
Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.
We're problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.
Our Commitment
At Zoom, we believe great work happens when people feel supported and empowered. We're committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know-we're here to support you at every step.
We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law.
If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.
Think of this opportunity as a marathon, not a sprint! We're building a strong team at Zoom, and we're looking for talented individuals to join us for the long haul. No need to rush your application - take your time to ensure it's a good fit for your career goals. We continuously review applications, so submit yours whenever you're ready to take the next step.
Our interviews are supported by BrightHire, a tool that helps us create a consistent and thoughtful interview experience and may include recordings. Please refer to our candidate privacy statement for more information of how we use your data.