[Hiring] HPC AI/ML Platform Engineer @TEKsystems

Role Description

TEKsystems Global Services is 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 across AWS, CoreWeave, GCP, OCI, and other emerging compute providers.

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.

Qualifications

• 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 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

Requirements

• 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, CoreWeave, 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

Benefits

• Medical, Dental & Vision
• 401(k)/Roth
• Basic/Supplemental Life & AD&D
• Short and long-term disability
• HSA & DCFSA
• Transportation benefits
• Employee Assistance Program
• Company Paid Time off or State Sick Leave

Job Type & Location

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

Pay and Benefits

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.

Application Deadline

This position is anticipated to close on Nov 6, 2026.

Workplace Type

This is a fully remote position.