🛠 Tech Stack

💼 About This Role

You'll join Reflection's Compute Platform team to keep our compute layer healthy and highly available across multiple neo-clouds. You'll work on K8s-based cluster management, multi-cloud scheduling, and performance debugging at scale. This role offers genuinely hard systems problems at the frontier of AI infrastructure.

🎯 What You'll Do

• Build and maintain tools for automatic remediation and topology-aware scheduling
• Design and iterate on the cluster management stack for multi-GPU fleets
• Implement comprehensive cluster-wide monitoring and performance benchmarking
• Prepare infrastructure for next-generation GPU deployments and larger clusters

📋 Requirements

• Systems-level engineering experience with cluster-wide behavior
• Strong coding ability with focus on systems or GPU infrastructure
• Deep GPU hardware knowledge including NCCL
• K8s-first architecture alignment

✨ Nice to Have

• Cloud storage expertise with high-performance data products like VAST
• Experience with petabyte-scale data replication
• Knowledge of multi-cloud scheduling

🎁 Benefits & Perks

• 💰 Top-tier compensation with salary and equity
• 🏥 Comprehensive medical, dental, vision insurance
• 👶 Fully paid parental leave for all new parents
• 🍽️ Daily lunch and dinner provided
• 🏖️ Paid time off and relocation support