Crystal Equation Corporation
HPC Consultant
Skills
24 days ago
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Important information
Contract type:
Permanent
Location:
United States
Work mode:
Onsite
Published on:
2 October 2026
What they need
The Opportunity
Client Cloud Foundation operates 15+ HPC clusters across AWS, CoreWeave, GCP, and other providers — powering 40,000+ GPUs for AI research and production training. This infrastructure is scaling 10x in 2026, making this one of the most impactful cloud platform roles available today.
What You'll Do
- Operate and scale Kubernetes platforms (EKS, CKS, GKE) across multiple cloud providers — managing cluster lifecycle, node pools, networking, and growth planning
- Provision HPC infrastructure through Meta's CI/CD system (Conveyor) across AWS, CoreWeave, GCP, and OCI
- Work with Slurm-based job scheduling to allocate GPU compute for AI training and inference workloads
- Build and maintain monitoring, alerting, and SLOs — contributing to operational excellence and incident response
- Collaborate daily with Networking, Storage, Security, and AI/ML platform teams at Meta
What We're Looking For
- 4+ years in infrastructure engineering, cloud platforms, or HPC
- Kubernetes experience (operating clusters, node pool management, upgrades)
- Terraform proficiency — writing and reviewing infrastructure-as-code daily
- Working knowledge of AWS (EC2, S3, EFS, FSx for Lustre)
- Python for tooling and automation
- Slurm experience is a plus but not required
This position comes with full benefits, including medical, dental, vision, life, 401k and more!
THE PROMISES WE MAKE:
At Crystal Equation, we empower people and advance technology initiatives by building trust. Your recruiter will prep you for the interview, obtain feedback, guide you through any necessary paperwork and provide everything you need for a successful start. We will serve to empower you along the way and provide the path for your professional journey. Pay Rate $75/hr to $80/hr
For more information regarding our Privacy Policy, please visit crystalequation.com/privacy.
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