[Hiring] High-Performance Computing Systems Engineer @iForce Connect

Role Description

This is a remote position.

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.

Qualifications

• 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.

Benefits

• 100% remote work environment.
• Flexible paid time off.
• Competitive compensation package with strong retirement contributions.
• The chance to work on the bleeding edge of computing infrastructure.