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Remote Ai Infrastructure Engineer Jobs in Renton, WA

VAST Data

Forward Deployed Engineer

Seattle, WA · On-site +1

About the Role As a Forward Deployed Engineer (FDE), you are a core member of our engineering team ... Modern AI Infrastructure (Plus): Experience working with containerized environments (Docker ...

YO AI Labs

AI Engineer - Remote

Seattle, WA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

YO AI Labs

AI Engineer - Remote

Seattle, WA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

YO AI Labs

AI Software Engineer - Remote

Seattle, WA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

YO AI Labs

AI Software Engineer - Remote

Seattle, WA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

YO AI Labs

AI Consulting Expert - Remote

Seattle, WA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical & Report Writing

YO AI Labs

AI Consulting Expert - Remote

Seattle, WA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical & Report Writing

Wsgr

Senior AI Security Engineer

Seattle, WA · On-site +1

$130K - $178K/yr

The Senior AI Security Engineer, under the direction of the Director, Security Engineering and Operations, sits at the frontier of AI infrastructure and enterprise security - a rare opportunity to ...

YO AI Labs

AI/ML Software Engineer - Remote

Seattle, WA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

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Remote Ai Infrastructure Engineer information

See Renton, WA salary details

$52.3K

$142.9K

$204.7K

How much do remote ai infrastructure engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for remote ai infrastructure engineer in Renton, WA is $142,927.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,900.00 and $158,600.00 per year, depending on experience, location, and employer.

What is a remote AI infrastructure engineer?

A Remote AI Infrastructure Engineer is a professional who designs, builds, and maintains the systems and tools necessary to support artificial intelligence (AI) projects, all while working remotely. Their responsibilities often include developing and optimizing cloud or on-premise infrastructure, ensuring scalability, managing data pipelines, and supporting machine learning workflows. They work closely with data scientists and software engineers to ensure AI models can be efficiently trained, deployed, and monitored in production environments. The remote aspect allows them to perform these tasks from anywhere, using collaboration tools and cloud platforms.

What are the key skills and qualifications needed to thrive as a remote AI infrastructure engineer?

To thrive as a Remote AI Infrastructure Engineer, you need expertise in cloud computing, distributed systems, and software engineering, often supported by a degree in computer science or a related field. Familiarity with tools like Kubernetes, Docker, Terraform, and cloud platforms such as AWS, Azure, or GCP is typically required, along with knowledge of CI/CD pipelines and AI/ML frameworks. Strong problem-solving skills, self-motivation, and effective remote communication are essential soft skills for success in this role. These skills ensure robust, scalable AI infrastructure that supports rapid innovation and seamless collaboration across distributed teams.

What are some common challenges faced by remote AI infrastructure engineers, and how can they be addressed?

Remote AI Infrastructure Engineers often encounter challenges such as managing distributed systems, ensuring robust data pipelines, and maintaining high system reliability across different time zones. Collaboration with cross-functional teams can require clear communication and effective use of remote tools. To address these challenges, it's important to establish strong documentation practices, schedule regular check-ins, and utilize automated monitoring and deployment solutions. Staying proactive and adaptable helps ensure seamless infrastructure performance and team alignment.

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Remote Ai Infrastructure Engineer jobs near you

Forward Deployed Engineer

Seattle, WA • On-site, Remote

VAST Data
Software Development • 201 - 500 employees
Learn more about VAST Dataexternal

Full-time

Posted 10 days ago

Job description

Description
VAST Data is the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
About the Role
As a Forward Deployed Engineer (FDE), you are a core member of our engineering team embedded directly within our most strategic, large-scale customer environments. You will work side-by-side with customer architects, operators, and developers to deeply understand their unique scale challenges, solve complex infrastructure issues together, and translate real-world requirements into core product improvements. As the face of VAST Engineering on the ground, you own the technical success of strategic customer deployments from design through production operation.
What a Day in the Life Looks Like
  • Collaborate Globally: Start your day syncing with other members of the engineering team to track hotfixes, review roadmap updates, and pull down and test new builds.
  • Co-Engineer Solutions: Collaborate side-by-side with the customer's technical team to optimize infrastructure throughput, debug complex issues, and develop solutions for their largest workloads.
  • Drive Product Development: Weave real-world operational insights directly into the VAST development loop. Take the complex challenges you solve with customer engineers and distill them into precise, executable technical requirements for our core development teams to deliver.
  • Write Code: Develop custom API endpoints, create automation tools, or write scripts to unblock critical customer workflows. Address code review feedback from internal engineering teams on more complex changes.
  • Advocate: Act as a fierce internal advocate for your customer, ensuring their long-term technical needs are prioritized in the VAST product roadmap.

Requirements
Technical Expertise
  • Distributed Systems & Storage: Deep, foundational knowledge of distributed systems, high-performance file systems, storage protocols, and performance tuning.
  • Advanced Networking: Strong understanding of high-throughput fabrics, including InfiniBand, RoCE (RDMA over Converged Ethernet), and 100GbE+ networking.
  • Linux Internals: Advanced knowledge of Linux systems architecture, memory management, and kernel mechanics.
  • Hands-on Development: Proficiency in Python and C/C++, with the ability to read, debug, and safely contribute to a complex, enterprise-grade codebase.
  • System Operations (Plus): Experience operating large-scale AI training environments or high-performance compute (HPC) clusters is highly desirable.
  • Modern AI Infrastructure (Plus): Experience working with containerized environments (Docker, Kubernetes) and modern AI/ML frameworks (PyTorch, TensorFlow) is highly desired.

Professional Experience & Skills
  • Experience: 5+ years in a highly technical, engineering role such as Forward Deployed Engineer, Resident Engineer, Systems Software Engineer, or Senior Systems Engineer with a track record of customer-facing collaboration.
  • Composure under Pressure: A steady, analytical mindset when navigating complex technical challenges or high-stakes issues, with a focus on driving swift, logical resolutions.
  • Diplomacy & Translation: Exceptional communication skills-the ability to explain complex distributed systems limitations to a customer executive, and equally comfortable explaining a business deadline to a core developer.
  • Organizational Mastery: Highly organized and self-directed, with a proven ability to manage customer expectations and know when to set strategic boundaries to protect the product roadmap.
  • Continuous Learning Mindset: Possess an insatiable curiosity and a desire to master new technologies. You are someone who proactively dives into unfamiliar technical concepts and comes up to speed rapidly in a fast-evolving ecosystem.

Travel
  • Ability to travel or work on-site at customer locations as required (up to 25% travel).

Why Join VAST?
You will be working at the absolute cutting edge of the AI revolution. This isn't a role where you sit on the sidelines-you will have a direct, measurable impact on the infrastructure powering the future of technology, working alongside a world-class team that is redefining the data stack.

Apply