HPC/ GPU Cluster Architect

About the role

Our infrastructure team is responsible for architecting and deploying new clusters around the world and keeping them running smoothly. You’ll participate in on-call rotation, deploy new environments, fix issues when they arise, and lean into automation to enable deployments at scale. We’re a small but ambitious team so you’ll be an early contributor helping to shape culture, mentor junior engineers, and learn from our customers.

Responsibilities

• Architect and deploy new clusters around the world
• Deploy and maintain new environments
• Fix issues when they arise
• Enable deployments at scale through automation
• Participate in on-call rotation
• Mentor junior engineers
• Learn from our customers

Requirements

• 5+ years of experience with hands-on designing, architecting and scaling at least one HPC or GPU compute cluster in production (ideally >1,000 GPUs, but not required)
• Deep understanding of server hardware fundamentals, including GPUs, NICs, PCIe, memory, thermals, and power
• Comfortable debugging performance and reliability issues across hardware, OS, drivers, and networking layers; full-stack
• The idea of automating fleet operations (provisioning, monitoring, remediation) excites you — you embrace infrastructure-as-code
• Absolutely appreciate, value, and generate strong operational documentation and runbooks
• Able and willing to mentor junior engineers and contribute to team culture
• Open to coming in to our San Francisco office 3–4 days per week
• Open to domestic travel when required

Qualifications

• Familiarity with data center operations including power, cooling, and colo/vendor engagements
• Strong Linux systems administration experience, including kernel drivers, RDMA stack tuning, and performance analysis
• Experience with schedulers and orchestration systems such as Slurm and Kubernetes
• Exposure to virtualization technologies (KVM, QEMU, libvirt)
• Experience utilizing telemetry pipelines for predictive hardware failure detection
• Experience troubleshooting high-speed fabrics such as InfiniBand and/or RoCEv2 Ethernet

Skills

• Hands-on experience with HPC or GPU compute clusters
• Understanding of server hardware fundamentals
• Experience with Linux systems administration
• Experience with scheduling and orchestration systems
• Experience with virtualization technologies
• Experience with telemetry pipelines
• Experience with high-speed fabrics

Benefits

• Generous equity grant
• Competitive salary
• Retirement matching
• Medical, dental & vision insurance
• Unlimited paid time off
• 10+ observed holidays
• Biological, adoptive, and foster parents paid time off
• Daily lunch covered
• Unlimited office book budget

Pay

Competitive salary and equity in the company

Schedule

Office 3–4 days per week, with occasional domestic travel required