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 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 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.
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📌 Core ML Engineer at Cerebras Systems (Ontario)
🏢 Cerebras
📍 Ontario