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Reflection AI

Builds AI models and deployment software

Member of Technical Staff - Compute Platform

Platform EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Systems-level engineering experience focused 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, such as familiarity with NCCL.
  • Alignment with a Kubernetes-first architecture.
  • Cloud storage expertise, specifically managing high-performance data products such as VAST across multiple data centers, connecting storage environments, and handling datasets and checkpointing at scale.

Responsibilities

  • Build and maintain tools for automatic remediation, topology-aware scheduling, capacity planning, and rapid hardware debugging.
  • Design and iterate on the cluster management stack for workloads across large, multi-GPU fleets.
  • Implement comprehensive cluster-wide monitoring, focusing on durability and active performance benchmarking.
  • Prepare the infrastructure for next-generation GPU deployments and increasingly larger cluster sizes.
  • Help own multi-cloud storage, petabyte-scale data replication, and GPU-to-GPU network performance over the long term.

About the Company

Reflection AI

Builds AI models and deployment software

Reflection AI develops language models for software developers, companies and governments that want control over how AI is deployed and adapted. Its research concentrates on coding, reasoning and AI agents that work through tasks with software tools. The lab builds the surrounding software and infrastructure as well as models, letting customers run AI through its hosted platform or in their own computing environments. Its commercial work pairs model access with engineers who design applications and support customized enterprise deployments from development through operation. Reflection AI was founded in 2024 and is headquartered in New York City.

Company size
201-500
Company stage
Late Stage VC
Total funding
$4.6B
Headquarters
New York City, New York
Founded
2024

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