Performance Engineer, Inference
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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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