Member of Technical Staff - Compute Platform

Highlights

• Keep large-scale GPU compute layer healthy and highly available.
• Build auto-remediation and topology-aware scheduling for GPU fleets.
• Scale infrastructure for next-generation GPU deployments and larger clusters.

What they offer

• Top-tier compensation with salary and equity structured globally
• Stock options for everyone who contributes to Reflection's success
• Comprehensive medical, dental, vision, life and annual wellness allowance
• Lunch and dinner provided in the office daily
• 22 weeks paid parental leave for all new birthing and non-birthing parents
• Unlimited paid time off in the U.S. and 30 days in the U.K.
• Regular off-sites, happy hours and team celebrations

Ideal candidate

Systems-minded engineer who loves keeping large GPU fleets healthy and thrives on hard availability and performance problems in close partnership with training teams.

Requirements

• Systems-level engineering experience with a focus on cluster-wide behavior and maintenance
• Strong coding ability and a demonstrated focus on systems or GPU infrastructure
• Deep GPU hardware knowledge beyond standard Kubernetes, e.g. familiarity with NCCL
• Alignment with a K8s-first architecture
• Cloud storage expertise managing high-performance data products across multiple data centers and handling datasets and checkpointing at scale