Engineer, Kernels

Performance Engineer, Kernels

Part of Sarvam's Performance Engineering team. We are hiring two specialized performance roles - Kernels (this posting) and Inference (companion posting). They are a vertical stack: the kernels team authors the µs-level GPU code, and the inference team integrates it into a running serving stack and owns the system-level numbers. If your depth genuinely spans both, apply to either and tell us - but most candidates are strongest in one, and we hire for that depth.

Location: [Bengaluru / Chennai / Hybrid / On-site] · Team: Performance Engineering · Level: Senior

About the team

Sarvam serves multiple model families - small and large LLMs, Mixture-of-Experts, streaming Indic ASR, and multimodal - across a multi-node, multi-tenant fleet on H100 / H200 / B200. The Performance Engineering team owns the numbers the rest of the company plans against: how fast we serve, how much it costs, and how much we get out of every GPU. This team works at the intersection of the serving runtime, the kernel layer, and the SRE org that keeps the fleet alive.

About the role

You will own the kernel layer. Where stock libraries - cuBLAS, cuDNN, FlashAttention, out-of-the-box Triton - leave performance on the table, you will author the custom CUDA, DSL-based, and PTX kernels that close the gap.

This is a hard,