Elevate machine learning solutions with Cerebras Systems as a Core ML Engineer. Focus on runtime capabilities and productive kernel development to optimize cutting-edge AI algorithms.As part of the cutting-edge 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, strong 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 validationRequirements:
Bachelor's, Master's, or Ph D in a related field
Experience with ML systems, runtimes, or computational kernels
Robust programming in C++ and Python
Debugging expertise across multiple software layers
Familiarity with Py Torch or JAXTransform research into reliable software with your skills at Cerebras Systems.#J-18808-Ljbffr

📌 Core Ml Engineer At Cerebras Systems Toronto
🏢 Cerebras
📍 Toronto