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ML Systems Performance Engineer

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference serv

Company

Cerebras

Location

Bengaluru, IND

Status

Open

Posted

2026-06-16T06:41:30.545+00:00

Cerebras seeks an ML systems performance engineer for its inference performance team in Bengaluru. The role sits between hardware and software: building kernel-level and end-to-end performance models, tuning kernel microcode and compiler algorithms for inference speed and utilization on the Wafer Scale Engine, debugging runtime performance, and building tooling to visualize performance data. The posting asks for a degree in electrical engineering or computer science, a computer architecture background, familiarity with low-level deep learning and LLM math, CPU/GPU simulator experience, profiling and debug skills, and C++ and Python.