HPC Solutions Engineer (GPU)

TL;DR

HPC Solutions Engineer (GPU): Building and maintaining large-scale GPU clusters for premium clients with an accent on bespoke resource orchestration and high-performance infrastructure. Focus on automating deployment, optimizing distributed computing environments, and ensuring seamless integration of machine learning workloads.

Company

hirify.global is a mission-driven startup building a marketplace for compute by directly matching independent data centers and hardware providers to end users.

What you will do

• Collaborate with customers to define technical requirements and optimize their use of distributed GPU resources.
• Manage and coordinate GPU cluster operations, including high-speed networking via InfiniBand.
• Oversee deployment and maintenance of machine learning environments using SLURM and virtual storage.
• Automate infrastructure provisioning and management using Ansible and Terraform.
• Conduct performance tuning to maximize throughput and reduce latency for complex workloads.
• Document operational procedures and maintain system configurations.

Requirements

• 7+ years of experience in high performance compute, distributed machine learning, or system architecture.
• Proficiency in managing NVIDIA GPU environments and associated frameworks.
• Strong experience with high-speed networking technologies, specifically InfiniBand.
• Expertise in HPC job schedulers, preferably SLURM.
• Strong automation skills using Ansible and Terraform.
• Strong coding skills in Python and familiarity with machine learning libraries.

Culture & Benefits

• Fully remote role with a high-accountability, high-agency culture.
• Opportunity to work with diverse hardware configurations and cutting-edge GPU use cases.
• Competitive salary, equity, and benefits package.
• Flexible PTO policy.