HPC Solutions Engineer

Location: Fully remote

Company

A startup building a marketplace that connects independent data centers and compute providers with users seeking diverse, high-performance computing resources.

What you will do

• Lead technical discovery with customers, define requirements and deliverables, and help them use distributed GPU computing resources effectively.
• Recommend tools and develop reusable boilerplate and reference implementations for future customers.
• Manage NVIDIA GPU clusters and coordinate with IT on efficient operation, including InfiniBand networking.
• Deploy and maintain machine learning environments using virtual storage, distributed computing tools, and SLURM.
• Automate infrastructure provisioning and management with Ansible and Terraform.
• Collaborate with data scientists and engineers on production ML integration, performance optimization, documentation, and operational procedures.

Requirements

• 7+ years of experience in high-performance computing, distributed machine learning, GPU computing, and/or system architecture.
• Proficiency managing NVIDIA GPU environments and familiarity with GPU computing frameworks and libraries.
• Strong experience with InfiniBand and other high-speed networking technologies.
• Experience with HPC job schedulers, preferably SLURM.
• Expertise in Ansible and Terraform, plus experience deploying and managing virtual storage solutions.
• Strong Python coding skills and familiarity with machine learning libraries and frameworks, alongside excellent communication and teamwork skills.

Culture & Benefits

• Fully remote work with a high-accountability, high-agency culture.
• Exposure to diverse hardware configurations, distributed compute locations, and cutting-edge GPU use cases.
• Competitive salary, equity, and benefits.
• Flexible paid time off.
• People-centric, mission-driven, experimental working environment focused on individual ownership and results.