HPC AI​/ML Platform Engineer

We are seeking experienced HPC AI/ML Platform Engineers to support one of the world's largest AI compute environments. This team operates and scales multi-cloud infrastructure powering GPU-intensive model training, deep learning research, and production AI workloads.

This is not a traditional cloud infrastructure role. The ideal candidate has hands-on experience supporting High-Performance Computing (HPC), deep learning platforms, large-scale GPU environments, and AI/ML training infrastructure where performance, reliability, and efficient resource utilization are mission critical.

Engineers on this team will help provision and operate large-scale compute environments, manage Kubernetes-based infrastructure, optimize GPU resource allocation, support Slurm scheduling systems, and build automation that enables rapid AI platform growth.

Success in this role requires experience operating production environments that support AI model development, training, and inference workloads at significant scale.

• Proven experience supporting High Performance Computing (HPC) environments at enterprise scale
• Experience supporting AI/ML or Deep Learning infrastructure, including model training workloads
• Provision HPC infrastructure through CI/CD systems across AWS, Core Weave, GCP, OCI, and additional cloud providers
• Experience managing or supporting Slurm-based job scheduling environments
• Operate and troubleshoot large-scale Kubernetes platforms supporting GPU-intensive workloads
• Define and maintain SLIs/SLOs, monitoring, alerting, incident response, and post-incident reviews
• Partner closely with Networking, Storage, Security, and AI/ML Platform teams
• Experience operating environments where performance, cluster stability, and GPU utilization directly impact business outcomes

• 4+ years supporting HPC, AI/ML Infrastructure, Machine Learning Platforms, or Deep Learning environments
• Strong experience with distributed compute, GPU infrastructure, or large-scale training environments

Hands-on Kubernetes experience at scale including:

• Cluster lifecycle management
• Scheduler troubleshooting
• Node pool management
• Networking and CNI troubleshooting
• Production upgrades across large fleets

Terraform experience building and managing infrastructure through Infrastructure as Code

Python experience for platform automation and operational tooling

Working knowledge of AWS services including EC2, S3, EFS, and FSx for Lustre

Experience with Slurm job scheduling strongly preferred

Experience supporting ML training, inference, deep learning, large language model (LLM), or GPU-intensive workloads preferred

Kubernetes, terraform, python, slurm, hpc, deep learning, Infrastructure

Kubernetes,terraform,python,slurm,hpc,deep learning

Expert Level

This is a Contract position based out of Seattle, WA.

The pay range for this position is $100.00 - $100.00/hr.

Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may besubject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:

Medical, dental & vision

Critical Illness, Accident, and Hospital
401(k) Retirement Plan Pre-tax and Roth post-tax contributions available

Life Insurance (Voluntary Life & AD&D for the employee and dependents)
Short and long-term disability

Health Spending Account (HSA)
Transportation benefits

Employee Assistance Program Time Off/Leave (PTO, Vacation or Sick Leave)

This position is anticipated to close on Oct 30, 2026.

This is a fully remote position.

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change.

That's the power of true partnership. TEKsystems is an Allegis Group company.

The…