Compute Platform Lead: Multi-Cloud, GPU & Kubernetes

Reflection AI Ltd; San Francisco (CA); On-site; USD 210,000 - 290,000; Full time

Benefits offered by this job

Top-tier compensation

Stock options

Comprehensive health/dental/vision

Meals provided in office

22 weeks parental leave

Unlimited PTO (US) / 30 days (UK)

Visa sponsorship

Team off-sites

Job summary

Reflection is seeking an experienced Compute Platform Lead in San Francisco to oversee a Kubernetes-based, multi-cloud compute layer used for large-scale AI training. You will build and mentor a high-performing team of systems engineers, guiding the architecture and fault-tolerance features while remaining hands-on when needed.

You will collaborate with training teams on remediation, plan for next-generation GPUs, and manage important vendor deals, ensuring reliability of the compute fleet

Qualifications

• Experience building and growing a systems or infrastructure team while staying technically hands-on.
• Deep systems-level engineering with focus on cluster-wide behavior and maintenance.
• Strong coding ability with credibility to earn the technical trust of a strong team.
• Depth in at least one of orchestration, storage, or GPU hardware; NCCL is a plus.
• Alignment with a Kubernetes-first architecture.
• Cloud storage expertise across data centers and datasets at scale.
• Experience managing vendors and negotiating important deals.
• Ability to guide strategy and execution across a multi-cloud, large-fleet environment.

Responsibilities

• Build, mentor, and grow a high-performing team of systems engineers.
• Provide front-line leadership for the compute fleet: multi-cloud scheduling, cluster management, and GPU deployments.
• Stay hands-on to contribute technically as an individual contributor.
• Manage day-to-day execution and prioritization in a fast-paced environment.
• Guide architectural decisions for scalability, resilience, and monitoring.
• Collaborate with training teams to co-design fault tolerance and remediation; manage vendor relationships.
• Plan for next-generation GPUs and larger clusters, and long-term multi-cloud storage strategies.
• Raise the bar for technical judgment, prioritization, and execution.

Skills

Leadership & People Mgmt

Systems Engineering

Kubernetes & Orchestration

GPU Hardware & Deployment

Multi-Cloud Architecture

Vendor Management

Strategic Planning

Communication & Mentorship

Tools

NCCL

Job description

Reflection is seeking an experienced Compute Platform Lead in San Francisco to oversee a Kubernetes-based, multi-cloud compute layer used for large-scale AI training. You will build and mentor a high-performing team of systems engineers, guiding the architecture and fault-tolerance features while remaining hands-on when needed.

You will collaborate with training teams on remediation, plan for next-generation GPUs, and manage important vendor deals, ensuring reliability of the compute fleet