Open position

Serving stack

Build the batching, scheduling and caching that keep cost and latency predictable under real traffic, for every model in the catalog.

Infrastructure

What you'll do

  • Run the job queue, batching and scheduling behind the API's asynchronous jobs.
  • Keep latency and cost predictable when traffic spikes or a model changes.
  • Build the storage, caching and webhook delivery customers rely on.
  • Instrument the stack so problems show up before customers notice them.

What you bring

  • Experience building and operating backend systems under real load.
  • Comfort with queues, containers and GPU scheduling.
  • Clear thinking about failure: retries, timeouts and what happens when a machine dies.

Good to have

  • Experience serving machine-learning models in production.
  • Work on autoscaling GPU fleets.

Apply.

Tell us what you work on and what you would want to measure first. Links to papers, code or demos help us most.