Opportunity description
Job Title: Senior GPU Infrastructure Engineer
Job Location: San Francisco, CA (on-site)
Compensation: $250,000 base salary
This fast-growing team is building advanced AI infrastructure and is looking for an engineer to help design, scale, and operate GPU heavy systems that support high-performance training and inference workloads.
What You’ll Do
• Build and scale GPU infrastructure for high-performance AI workloads
• Improve reliability, observability, and performance across compute clusters
• Partner with engineering teams to optimize training and inference environments
• Automate deployment and operations to reduce toil and downtime
• Troubleshoot complex issues across hardware, drivers, networking, and runtime layers
What You Bring
• Strong experience operating production infrastructure supporting GPU compute
• Solid Linux fundamentals and performance troubleshooting skills
• Experience with cluster scheduling or orchestration in distributed environments
• Scripting or programming ability for automation and tooling
• Ability to work onsite in San Francisco, CA
Why This Role?
You will have hands on ownership of critical GPU infrastructure at a company pushing the limits of modern AI systems, with direct impact on performance and scale.
