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ML Systems Performance Engineer

India Office💼 Full-time🗓 2026-06-16 → 2026-07-31

Core

Build performance models and optimize kernel micro-code to maximize inference speed and throughput on the Cerebras Wafer Scale Engine (WSE) for state-of-the-art ML models.

Role type

Senior IC ML Systems Performance Engineer

Builds

Production inference performance on Cerebras WSE hardware

Domain

AI Hardware / Computer Architecture / High-Performance Computing

Deliverable

production ML models

Required skills

Computer architecture, Low-level deep learning math, Kernel optimization, Performance profiling, C++, Python, Cluster debugging

Preferred skills

CPU/GPU simulator experience, Tooling development

Technologies

Cerebras WSE, C++, Python

Responsibilities

Build performance models to estimate ML model performance, Optimize kernel micro-code and compiler algorithms, Debug runtime performance on system and cluster, Develop tools to visualize performance data

Seniority

Senior, hands-on IC

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