AI/HPC System Engineer (26-00875) -

LeadStack Inc. is an award-winning, one of the nation’s fastest-growing, certified minority-owned (MBE) staffing services provider of contingent workforce. As a recognized industry leader in contingent workforce solutions and Certified as a Great Place to Work, we’re proud to partner with some of the most admired Fortune 500 brands in the world.

Description

We are hiring an AI/HPC System Engineer to build and operate the compute infrastructure supporting our HPC and AI development workloads. This role deploys, automates, and maintains GPU clusters across on-premise and cloud environments, delivering reliable, scalable, and cost-efficient compute for engineering and R&D teams.

Responsibilities

GPU/HPC infrastructure

Build, configure, and operate GPU and HPC clusters across compute, storage, and networking; support capacity planning, performance tuning, and optimization for AI training, inference, and compute-intensive workloads

Hybrid cloud infrastructure

Deploy and maintain compute environments spanning on-premise and public cloud, and contribute to modernization and scaling initiatives for HPC/AI infrastructure

Automation and observability

Implement infrastructure-as-code, provisioning automation, monitoring, and alerting, and drive improvements in resource utilization and efficiency

AI platform support

Deploy, integrate, and support LLM APIs, coding assistants, and AI/agent platforms used by internal engineering teams

Operations and collaboration

Troubleshoot and resolve infrastructure issues, document standards and runbooks, and work with relevant stakeholders to support day-to-day IT operations

Requirements

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical field
• 3+ years of hands-on experience in IT infrastructure, cloud, platform engineering, or HPC
• Hands-on experience with Linux-based infrastructure and public cloud environments such as AWS, Azure, or GCP
• Experience deploying or operating GPU/HPC environments, including workload scheduling or orchestration platforms such as Kubernetes or Slurm
• Experience with infrastructure automation, monitoring, troubleshooting, and performance optimization
• Solid understanding of compute, storage, networking, and container technologies; experience with AI/ML infrastructure or workloads is a plus
• Strong collaboration and communication skills, with the ability to work across engineering and IT teams

To know more about current opportunities at LeadStack, please visit us at https://leadstackinc.com/careers/

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