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[Junior / Senior / Staff] Software Engineer, Inference / Compute Infrastructure Engineering

Together AI

San Francisco, CA · full time

$160,000 – $280,000

Listed on Together AI’s own careers site. You apply with them directly — we never stand between you and the employer.

What this role is

Build the Kubernetes control plane and state machine that provisions and manages a GPU inference fleet, creating a declarative API so inference teams request resources without understanding the underlying complexity. You'll own the scheduling, defragmentation, and self-healing systems that keep GPU utilization high and the platform reliable in production.

Our summary, not Together AI’s wording. The full posting is on their site.

Skills this role names

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What they ask for

Required

  • Strong software engineering background in Go, Python, Rust, or similar language
  • Experience with durable workflow orchestration tools such as Temporal or Cadence
  • Experience building software control planes or orchestration systems that model and reconcile state over time
  • Experience with event-driven systems and message queues or pub/sub platforms
  • Product mindset with experience building internal platforms or APIs consumed by other engineering teams

Nice to have

  • Exposure to bare-metal provisioning (PXE, iPXE, Redfish, IPMI, BMC)
  • Networking fundamentals (VLANs, BGP, fabric design)
  • GPU or accelerator infrastructure experience
  • Experience with GPU cluster software stacks (NCCL, CUDA, InfiniBand, RoCE)
  • Prior work at a hyperscaler, GPU cloud, or datacenter-scale infrastructure organization
  • Systems programming in Rust or Go

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