> Markdown version of [/jobs/ext/3853609-hpc-ai-ml-platform-engineer](https://www.wearedevelopers.com/jobs/ext/3853609-hpc-ai-ml-platform-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # HPC AI/ML Platform Engineer - **Company:** TEKSYSTEMS INC. - **Location:** Seattle, WA, United States (Remote available) - **Experience:** Experienced - **Salary:** $208,000.0 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Build Automation, Cloud Computing, Continuous Integration, Job Scheduling, Python (Programming Language), Machine Learning, Language Modeling, Node.Js, Azure Machine Learning, High Performance Computing, Large Language Models, Deep Learning, Multi-Cloud, AI Platforms, Kubernetes, Infrastructure Automation Frameworks, Slurm, Machine Learning Operations, Hardware Infrastructure, Terraform, Oracle Cloud Infrastructure - **Published:** October 21, 2026 - **Apply:** https://www.careercircle.com/jobs/all/all/usa/wa/seattle/8e154546-0039-4b81-9940-0cb13c090dca ## About the Role 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. MUST HAVE 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 Requirements 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 Skills Kubernetes, terraform, python, slurm, hpc, deep learning, Infrastructure Top Skills Details Kubernetes,terraform,python,slurm,hpc,deep learning, 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. ## Description Research Terraform Scheduling Operations Automation Kubernetes Multi-Cloud Deep Learning AI/ML Inference Machine Learning Build Automation Incident Response Business Valuation Resource Allocation Cloud Infrastructure Resource Utilization Full Stack Development Artificial Intelligence Large Language Modeling Business Transformation High Performance Computing Amazon Elastic Compute Cloud Python (Programming Language) Machine Learning Model Training Troubleshooting (Problem Solving) Slurm (Batch Scheduling Software) Job Scheduling (Inventory Management)