High-Performance Computing (HPC) Systems Engineer

iForce Connect; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

100% remote work environment

Bleeding-edge computing infrastructure

Job summary

iForce Connect is seeking an experienced HPC Systems Engineer to own and optimize high-performance computing infrastructure. You will design, test, and deploy large-scale clusters, working closely with hardware partners and internal teams to ensure maximum throughput and minimal latency.

You will lead automation efforts, integrate GPUs/CPUs and fast networking, and tackle complex issues across compute, storage, and networking layers in a 100% remote environment.

Qualifications

• Experience as Systems Engineer or Infrastructure Architect in HPC environments.
• Linux/UNIX administration at scale.
• Scripting (Python, Bash) and CM tooling (Ansible, Puppet, Chef).
• Knowledge of high-speed networking (InfiniBand, RDMA) and parallel/distributed file systems (Lustre, GPFS, Ceph).
• Experience with Docker/Kubernetes in HPC contexts.

Responsibilities

• Architect and deploy large-scale distributed computing clusters for intensive workloads.
• Monitor and optimize system performance to maximize throughput and minimize latency.
• Develop automation scripts for provisioning, config mgmt, and updates for scalable infrastructure.
• Collaborate with hardware vendors to integrate GPUs/CPUs and high-speed networking.
• Troubleshoot complex cluster performance, network fabric, and distributed storage issues.

Skills

Linux administration

Scripting (Python, Bash)

Configuration management (Ansible, PuP

Configuration management (Chef)

High-speed networking (InfiniBand, RDМ

Parallel/distributed file systems (Lru

Containerization (Docker, Kubernetes)

Data center security

Tools

Ansible

Puppet

Chef

Docker

Kubernetes

Lustre

GPFS

Ceph

InfiniBand

Job description

High-Performance Computing (HPC) Systems Engineer

We are partnering with a rapidly expanding infrastructure provider dedicated to delivering scalable, high-performance computing environments. Our client builds and manages the heavy-duty tech ecosystems that power complex workloads for enterprise businesses globally. They are currently seeking elite engineering talent to help architect, deploy, and maintain advanced computing clusters that meet rigorous performance and security standards.

The Role:

On behalf of our client, we are looking for an experienced HPC Systems Engineer to take ownership of their high-performance infrastructure. You will be instrumental in designing, testing, and optimizing large-scale computing environments that handle data-intensive operations. In this role, you will work closely with hardware partners and internal deployment teams to ensure their systems deliver maximum throughput with minimal latency.

Key Responsibilities:

• Infrastructure Design & Deployment: Architect and deploy large-scale, distributed computing clusters tailored for intense workloads (such as machine learning, data modeling, or complex rendering).
  
• Performance Optimization: Continuously monitor and fine-tune system performance. Identify bottlenecks in compute, storage, or network layers and implement solutions to maximize efficiency.
  
• Automation & Management: Develop robust automation scripts for provisioning, configuration management, and system updates to ensure seamless scalability across the client's infrastructure.
  
• Hardware Integration: Collaborate with top-tier hardware vendors to integrate the latest processing units (GPUs/CPUs) and high-speed networking solutions into data center environments.
• Troubleshooting: Act as the ultimate escalation point for complex technical issues relating to cluster performance, network fabric, and distributed storage systems.
  

Requirements:

• Proven experience as a Systems Engineer or Infrastructure Architect specifically focused on High-Performance Computing (HPC) environments.
  
• Deep expertise in Linux/UNIX system administration at scale.
  
• Strong scripting skills (Python, Bash, or similar) and experience with configuration management tools (Ansible, Puppet, Chef).
  
• In-depth knowledge of high-speed networking concepts (InfiniBand, RDMA, advanced Ethernet) and parallel/distributed file systems (Lustre, GPFS, Ceph).
  
• Experience with containerization and orchestration technologies (Docker, Kubernetes) in a high-performance context.
  
• A solid understanding of data center security protocols and best practices.
  

What the Client Offers:

• 100% remote work environment.
  
• The chance to work on the bleeding edge of computing infrastructure