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Software Engineer, Caching Infrastructure

OpenAI · San Francisco

CHECKED 1H AGO

Frontier labonsitesenior$230k–$385k
Apply on the lab’s site ↗

At a glance

Highlights

  • Design and scale high-availability caching layer for ChatGPT and APIs.
  • Define long-term vision for caching balancing performance, durability and cost.
  • Power critical inference workloads with auto-scaling, low-latency cache platform.

What they offer

  • Equity

Ideal candidate

An experienced distributed systems builder who obsesses over latency, reliability and cost efficiency and thrives in fast-paced settings balancing pragmatic delivery with long-term technical excellence.

Requirements

  • 5+ years building and scaling distributed systems focused on caching, load balancing, or storage
  • Deep expertise with Redis, Memcached or similar including clustering and performance tuning
  • Production experience with Kubernetes, service meshes and autoscaling systems
  • Rigorously consider latency, reliability, throughput and cost in platform design
  • Thrive in fast-paced environments balancing pragmatic engineering with long-term excellence

Lab profile

About OpenAI

Builds safe frontier AI models and products like ChatGPT for broad benefit.

What they build

  • ChatGPT
  • OpenAI API
  • Frontier AI models

Known for

  • Frontier-scale distributed ML training
  • Massive GPU fleet and data center operations
  • Exabyte-scale data lakes and streaming
  • AI alignment and safety research

Key facts

  • Operates one of the world's largest GPU fleets
More about OpenAI →
Apply on the lab’s site ↗