ML Systems Performance Engineer

Cerebras builds AI accelerator hardware and systems for high-speed model training and inference. You will model and optimize inference performance across kernels, compilers, runtime systems, and compute clusters.

• Build performance models for kernels and end-to-end ML models
• Optimize and debug kernel microcode and compiler algorithms
• Analyze runtime performance on systems and clusters
• Develop tools to visualize performance data from hardware and clusters

Education

Engineering degree

Degree

electrical engineering, computer science

Experience

3+ years

Domain

ai hardware

Cerebras Systems has 6 open roles in Bangalore, at Cerebras Systems Bengaluru. See every Cerebras Systems role.