Engineer for ML Kernel Performance
Cerebras • toronto, on • Posted May 25, 2026
Position Overview
Take on the challenge of optimizing machine learning kernel performance. Your expertise will focus on debugging, tool development, and enhancing inference capabilities across complex systems.
In this role, an engineer will merge software performance analysis with hardware system understanding to ensure ML models operate at peak efficiency. Responsibilities include building sophisticated performance models, optimizing kernel micro code, and developing comprehensive tools to visualize and understand performance data. You'll be instrumental in analyzing runtime behavior on systems to elevate overall throughput and effectiveness.
Key Responsibilities:
• Develop performance models for state-of-the-art ML applications
• Optimize and debug kernel micro code and algorithms
• Monitor and analyze performance across clusters
• Create tools to visualize performance insights
Requirements:
• Bachelors, Masters, or PhD in Electrical...
In this role, an engineer will merge software performance analysis with hardware system understanding to ensure ML models operate at peak efficiency. Responsibilities include building sophisticated performance models, optimizing kernel micro code, and developing comprehensive tools to visualize and understand performance data. You'll be instrumental in analyzing runtime behavior on systems to elevate overall throughput and effectiveness.
Key Responsibilities:
• Develop performance models for state-of-the-art ML applications
• Optimize and debug kernel micro code and algorithms
• Monitor and analyze performance across clusters
• Create tools to visualize performance insights
Requirements:
• Bachelors, Masters, or PhD in Electrical...