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Performance Engineer, Inference

SarvamIndiranagar, BangalorePosted 2 months ago
  • Senior
  • Hybrid
  • Full time
  • 5+ years
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About the role

Sarvam serves language, speech and multimodal models across a multi-node GPU fleet. You will optimize and operate distributed inference serving, train speculative models, and own system performance metrics.

What you'll do

  • Operate and extend distributed production serving for large models
  • Integrate model and kernel artifacts into multi-node serving stacks
  • Train draft models and tune speculative decoding acceptance rates
  • Measure latency, throughput, GPU utilization and serving costs
  • Own inference service-level objectives and collaborate across engineering teams

Skills

Must have

  • Machine learning systems
  • Inference serving
  • Distributed serving
  • Speculative decoding
  • Kv cache
  • Tensor parallelism
  • Pipeline parallelism
  • Expert parallelism
  • Multi-tenant serving
  • C++

Nice to have

  • Moe serving
  • Long-context model serving
  • Multimodel serving

Tools

  • Sglang
  • Vllm
  • Nvidia dynamo
  • Tensorrt-llm
  • Mooncake
  • Nccl
  • Nsight systems
  • Py-spy
  • Perf

Who it's for

Experience
5+ years
Domain
ai infrastructure

About Sarvam

Sarvam has 28 open roles in Bangalore, at 732, Chinmaya Mission Hospital Road, Indiranagar Stage 1, Bengaluru, Karnataka 560038. See every Sarvam role.

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