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Inference/Serving Engineer (GPU)

llmLLM InfraDay‑rate or FTE$1,400–2,400/day or FTERemote

Optimize serving stacks (vLLM/TensorRT/ONNX); throughput & latency at scale.

What you'll do

  • Profile and tune vLLM/TensorRT/ONNX runtime for target SLAs
  • Capacity planning, autoscaling, and cost–latency trade‑offs
  • Implement caching and batching strategies; A/B changes in prod

What we're looking for

  • Strong CUDA/Triton/TensorRT and GPU profiling
  • Experience with serving frameworks and tracing
  • Infra IaC skills; SLO/SLA mindset

Where this role fits

This role sits in the LLM Infra & MLOps TalentZone and commonly supports packs like Cost & Quality Sprint and Guardrail & Reg Audit. Work is routed under QA; this is a managed bench, not a marketplace.