Elevate machine learning solutions with Cerebras Systems as a Core ML Engineer. Focus on runtime capabilities and efficient kernel development to optimize cutting-edge AI algorithms.

As part of the innovative Core ML team, you will bridge research ideas with high-performance execution on Cerebras' unique Wafer-Scale Engine. Your role requires a robust background in developing high-performance systems software, solid proficiency in C++ and Python, and a solid grasp of parallel programming concepts. Engage in translating research prototypes into efficient implementations that drive advanced AI workloads.

Key Responsibilities:



• Design runtime components for Core ML algorithms • Implement novel high-performance kernels for optimized performance • Profile and debug across layers of ML frameworks • Optimize memory, communication, and concurrency • Develop benchmarks and automated tests for validation

Requirements: • Bachelor's, Master's, or PhD in a related field • Experience with ML systems, runtimes, or computational kernels • Strong programming in C++ and Python • Debugging expertise across multiple software layers • Familiarity with PyTorch or JAX

Transform research into reliable software with your skills at Cerebras Systems.

📌 Core ML Engineer at Cerebras Systems (Toronto)
🏢 Cerebras
📍 Toronto