HPC AI Systems Administrator

We are seeking a high-caliber HPC AI Systems Administrator to serve as the foundational architect for our growing AI infrastructure. This role will be responsible for building a secure, scalable, and highly optimized environment to support our corporate data initiatives.

Operating at the critical intersection of infrastructure engineering and software application, you will design and maintain a robust compute platform. Your primary mission is to enable our Development Team to fine-tune and deploy production-level machine learning models smoothly, while ensuring the platform complies with enterprise-level security, governance, and data privacy policies., * Infrastructure Architecture & Management: Lead the deployment, bare-metal configuration, maintenance, and optimization of our on-premises HPC cluster and multi-GPU architecture.

• Platform Enablement: Manage the end-to-end AI software stack, including Linux OS environments, specialized GPU drivers, runtime libraries (CUDA, NCCL), and containerization platforms.
• Developer Sandbox Orchestration: Implement and maintain workload scheduling and orchestration systems (e.g., Kubernetes, Slurm, or equivalent enterprise platforms) to manage cluster resource allocation and job prioritization for engineering teams.
• Monitoring & Performance Tuning: Establish automated telemetry and monitoring dashboards to track hardware utilization, thermal limits, and memory bandwidth, ensuring maximum compute efficiency.
• Security & Governance Compliance: Operationalize strict data-at-rest and data-in-transit security baselines, ensuring the compute environment aligns with corporate Zero Trust network architecture and compliance mandates.
• Vendor Relations & Support: Act as the primary technical interface for high-end hardware vendors and system integrators to manage system updates and platform maintenance.

• Experience: 3+ years of dedicated systems administration experience managing Linux-based High-Performance Computing (HPC) environments or enterprise-scale GPU infrastructure.
• Technical Fluency: Hands-on experience configuring and maintaining modern enterprise GPU hardware (such as NVIDIA Ampere or Hopper architecture) in a data center context.
• Software & Tooling Mastery: Deep expertise in Linux system engineering, container technologies (Docker, Apptainer/Singularity), and cluster resource management.
• Networking & Storage: Solid baseline knowledge of high-throughput networking fabrics (e.g., InfiniBand/RoCE) and parallel or distributed enterprise storage systems.
• Education: Bachelor’s degree in computer science, Computer Engineering, System Administration, or equivalent practical industry experience.

Preferred Attributes

• Relevant professional certifications in enterprise AI infrastructure, virtualization, or cloud/hybrid architecture solutions.
• Familiarity with the infrastructure requirements supporting modern AI frameworks, machine learning lifecycles, or Large Language Model (LLM) fine-tuning pipelines.

• Direct access to cutting-edge, top-tier enterprise compute infrastructure. A collaborative environment with highly defined responsibilities and strategic, top-down execution support.

• Competitive salary, comprehensive benefits package, and professional development support.