Member of Technical Staff Compute Platform

You will build and maintain tooling for automated remediation, topology-aware scheduling, capacity planning, and hardware debugging. You will improve cluster management for large GPU fleets, implement cluster-wide monitoring and benchmarking, and prepare infrastructure for larger GPU deployments, storage replication, and network performance.

Responsibilities

• Build and maintain tools for automatic remediation, topology-aware scheduling, capacity planning, and hardware debugging
• Design and improve the cluster management stack for large multi-GPU fleets
• Implement cluster-wide monitoring and active performance benchmarking
• Prepare infrastructure for next-generation GPU deployments and larger clusters
• Develop multi-cloud storage, data replication, and GPU network capabilities
• Co-design fault tolerance, node health checks, and remediation strategies

Requirements

• Systems engineering experience focused on cluster-wide behavior and maintenance
• Strong coding ability in systems or GPU infrastructure
• Deep GPU hardware knowledge
• NCCL knowledge
• Kubernetes architecture experience
• Cloud storage expertise across data centers
• Experience handling datasets and checkpointing at scale

Benefits

• Stock options
• Medical, dental, vision, and life insurance
• Annual wellness allowance
• Daily in-office lunch and dinner
• 22 weeks of paid parental leave
• Unlimited paid time off in the U.S.
• 30 days of vacation in the U.K.
• Visa sponsorship support
• Regular off-sites, happy hours, and team celebrations