HPC (High-Performance Computing) Consultant @ Remote

BURGEON IT SERVICES LLC; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

BURGEON IT SERVICES LLC is seeking an experienced HPC Consultant to design and operate large-scale Kubernetes and HPC/GPU infrastructure in a remote, full-time role.

The ideal candidate will own infrastructure automation, cloud deployments, and SRE practices for AI/ML workloads, with strong experience in Slurm, NVIDIA GPUs, and multi-cloud environments.

Qualifications

• 10+ years of hands-on HPC/Kubernetes experience required.
• Proven ability to manage large Kubernetes clusters and upgrades.
• Deep knowledge of Slurm, GPU scheduling, and HPC/GPU workloads.

Responsibilities

• Operate and scale large Kubernetes clusters (up to 500 nodes).
• Design and maintain HPC/GPU infrastructure for AI/ML workloads.
• Automate infrastructure with Terraform and cloud tools.
• Ensure SRE practices: monitoring, alerting, incident response, RCA.

Skills

Kubernetes large-scale production

HPC / High-Performance Computing

Slurm

NVIDIA GPU infrastructure

AI/ML infrastructure

Python automation

Bash/Shell scripting

SRE monitoring & incident response

Tools

Terraform

AWS (EKS, EC2, S3, FSx Lustre)

Prometheus/Grafana

Job description

Position

HPC (High-Performance Computing) Consultant

Location

Remote

Employment

Full-Time | No Contractors

Experience

10 Years

Role Summary

We are seeking an experienced HPC / Kubernetes / Cloud Infrastructure Engineer with strong hands-on experience supporting large-scale Kubernetes environments, HPC/GPU infrastructure, AI/ML workloads, cloud platforms, infrastructure automation, and SRE operations.

Mandatory Skills

• Kubernetes large-scale production environments, cluster lifecycle, node management, upgrades, troubleshooting
• Kubernetes Troubleshooting Scheduler, CNI/networking, nodes, storage, and cluster issues
• HPC / High-Performance Computing
• Slurm
• NVIDIA GPU Infrastructure and GPU scheduling
• AI/ML Infrastructure and GPU-based workloads
• AWS especially EKS, EC2, VPC, IAM, S3, and FSx for Lustre
• Terraform / Infrastructure as Code (IaC)
• Python automation and coding
• Bash/Shell scripting
• Monitoring & SRE PrometheGrafana or equivalent, alerting, SLI/SLO, incident response, RCA
• Kubernetes Networking Calico or Cilium
• Helm, RBAC, autoscaling, and rolling upgrades
• Experience supporting large-scale Kubernetes clusters (500 nodes) is strongly preferred.

Preferred Skills

• Multi-cloud: AWS, Google Cloud Platform, CoreWeave
• Karpenter
• CUDA
• AWS ParallelCluster
• Lustre / WekaFS
• InfiniBand / RDMA
• Kubeflow, KServe, Ray, MLflow, or vLLM
• Distributed AI/ML training and inference platforms

Ideal Candidate

Strong hands-on Kubernetes Slurm NVIDIA GPU AI/ML Infrastructure Terraform Python AWS/EKS/FSx for Lustre SRE/Monitoring experience.