HPC Engineer

Arcus Search; Texas; Hybrid; USD 200,000 - 250,000; Full time

Job summary

Arcus Search is seeking an HPC Engineer to help build and scale GPU/AI infrastructure for advanced workloads. You will work with NVIDIA GPUs, HPC clusters, Slurm and Kubernetes, high-speed networking, storage, automation, and observability in large-scale production environments.

This Texas-based role offers relocation support and onsite work three days per week, focusing on scalable infrastructure to support demanding AI compute workloads.

Qualifications

• Experience with NVIDIA GPUs, HPC infrastructure, Slurm and Kubernetes.
• Experience with InfiniBand/RDMA and Linux in large-scale AI compute environments.
• Strong background in building and operating GPU-accelerated HPC workloads.

Responsibilities

• Build and scale GPU/AI infrastructure for HPC workloads.
• Work with NVIDIA GPUs, Slurm/Kubernetes, high-speed networking and storage.
• Ensure observability, automation, and reliability in large production environments.

Skills

NVIDIA GPUs

Kubernetes

Slurm

InfiniBand/RDMA

Linux

Observability

Automation

High-performance computing

Tools

InfiniBand

RDMA

Job description

I am currently working with a rapidly growing client who are looking for HPC Engineers to help build and scale infrastructure supporting some of the world’s most advanced GPU, AI and high-performance computing workloads. The roles focus on NVIDIA GPU infrastructure, HPC clusters, Kubernetes, Slurm, high-speed networking, storage, automation, observability, and large-scale production environments.

Job Title: HPC Engineer

Location: Texas, 3 days per week onsite (Relocation fully Supported)

Salary: $200,000 to $250,000 basic + Up to $400,000 Total Compensation

If you have experience working with NVIDIA GPUs, HPC infrastructure, Slurm/Kubernetes, InfiniBand/RDMA, Linux, or large-scale AI compute environments and are interested in building next-generation infrastructure,