AI/HPC Systems Engineer – Hybrid Cloud GPU Infra

Norland Group; San Jose (CA); On-site; USD 103,000 - 117,000; Full time

Job summary

Norland Group is seeking an AI/HPC System Engineer to build and operate GPU/HPC clusters across on-premise and cloud environments. You will deploy, automate, and maintain compute infrastructure to support our AI and R&D workloads.

The role requires 3+ years in IT infrastructure or HPC, Linux and public cloud experience, and familiarity with Kubernetes or Slurm for workload orchestration. Collaboration with engineering teams is essential.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• 3+ years of hands-on IT infrastructure, cloud, platform engineering, or HPC experience.
• Hands-on Linux-based infrastructure and public cloud environments (AWS/Azure/GCP).
• Experience deploying or operating GPU/HPC environments with workload scheduling/orchestration (Kubernetes or Slurm).
• Experience with infrastructure automation, monitoring, troubleshooting and performance optimization.

Responsibilities

• Build, configure, and operate GPU and HPC clusters across compute, storage, and networking.
• Deploy and maintain hybrid cloud compute environments (on-premise and public cloud).
• Implement infrastructure-as-code, provisioning automation, monitoring, and alerting.
• Deploy, integrate, and support LLM APIs, coding assistants, and AI agent platforms used by internal teams.
• Troubleshoot infrastructure issues, document standards/runbooks, and support day-to-day IT operations.

Skills

Linux fundamentals

Cloud platforms

GPU/HPC experience

Kubernetes

Slurm

Automation tooling

Monitoring observability

Collaboration

Education

Bachelor's degree in CS/Engineering

Tools

Kubernetes

Slurm

AWS

Azure

GCP

Job description

Norland Group is seeking an AI/HPC System Engineer to build and operate GPU/HPC clusters across on-premise and cloud environments. You will deploy, automate, and maintain compute infrastructure to support our AI and R&D workloads.

The role requires 3+ years in IT infrastructure or HPC, Linux and public cloud experience, and familiarity with Kubernetes or Slurm for workload orchestration. Collaboration with engineering teams is essential.