Member of Technical Staff - Compute Platform

About the role

The Compute Platform team at Reflection specializes in maintaining a K8s-based platform across multiple cloud environments. Your responsibilities will involve building and maintaining tools for automatic remediation, topology-aware scheduling, capacity planning, and rapid hardware debugging. You will also work closely with the training teams to design fault tolerance, node health checks, and remediation strategies.

Responsibilities

• Cluster Management: Develop and maintain tools for automatic remediation, topology-aware scheduling, capacity planning, and rapid hardware debugging.
• Platform Engineering: Design and iterate on the cluster management stack for large, multi-GPU fleets.
• Misson Monitoring & Observability: Implement comprehensive cluster-wide monitoring, focusing on durability and active performance benchmarking.
• Roadmap Execution: Prepare the infrastructure for next-generation GPU deployments and increasingly larger cluster sizes.
• Long-term Ownership: Help own multi-cloud storage, petabyte-scale data replication, and GPU-to-GPU network performance.

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, specifically managing high-performance data products (like VAST) across multiple data centers, connecting those storage environments together and handling datasets and checkpointing at scale.

Qualifications

• 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, specifically managing high-performance data products (like VAST) across multiple data centers, connecting those storage environments together and handling datasets and checkpointing at scale.

Skills

• 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, specifically managing high-performance data products (like VAST) across multiple data centers, connecting those storage environments together and handling datasets and checkpointing at scale.

Benefits

• Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
• Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
• Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
• Meals: Lunch and dinner are provided in the office daily.
• Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
• Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
• Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
• Team building: We have regular off-sites, happy hours, and team celebrations.

Pay

Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.

Schedule

Unlimited paid time off in the U.S. and 30 days in the U.K.