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Performance Engineer, Inference

Sarvam· Infrastructure
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Bengaluru, ChennaiFull-timePosted 2mo ago

About the role

Senior Performance Engineer focusing on production serving path for large distributed models, integrating model/kernel artifacts into a multi-node, multi-tenant serving stack, and delivering latency/throughput and cost metrics.

Responsibilities

  • Own Sarvam's production serving path for large distributed models end to end.
  • Read/modify and operate distributed-serving stacks (SGLang, vLLM, NVIDIA Dynamo, TensorRT-LLM) as needed for workload fit.
  • Integrate artifacts from model and kernel teams into a running multi-node, multi-tenant stack.
  • Build and train speculators (draft models, distillation, acceptance-rate tuning) for live serving distributions.
  • Produce and defend latency and throughput numbers the company plans against; collaborate across teams (architecture, kernels, model, SRE).
  • Maintain on-call ownership of an inference SLO.

Qualifications

  • 5+ years in ML systems, with 2+ years on inference serving at production scale.
  • Experience serving 100B+ parameter models in production across multi-node tensor, pipeline, or expert parallelism.
  • Source-level fluency in SGLang, vLLM, Dynamo, or TensorRT-LLM and familiarity with the other three.
  • Experience with disaggregated prefill-decode, distributed KV/cache transfer, and cross-node routing/scheduling.
  • Experience with speculative decoding and training/evaluating draft models or speculators.
  • Deep understanding of KV cache internals (block tables, copy-on-write, prefix sharing, fragmentation).
  • Working knowledge of TP/PP/EP, NCCL primitives and scheduler interactions.
  • Multi-tenant serving, model co-location and MIG/MPS isolation.
  • Profiling fluency (Nsight Systems, framework tracing, py-spy/perf).
  • C++ and CUDA at read-and-modify level.
  • On-call ownership of an inference SLO.

Skills

Required:ML systems performance engineeringSGLang / vLLM / Dynamo / TensorRT-LLM
Last updated Aug 11, 2026. Interested? Apply on the company site.
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