Transform AI performance at Cerebras Systems as a Core ML Engineer. Focus on runtime development and high-performance kernel design to optimize novel machine learning algorithms.

As part of the specialized Core ML team, you will bridge research and efficient execution on the Cerebras Wafer-Scale Engine. This role requires working with ML frameworks, compilers, and low-level kernels to deliver cutting-edge algorithmic capabilities. Your expertise will enhance runtime and kernel performance across large-scale training and real-time inference environments.

Key Responsibilities:
• Design high-performance kernels for Core ML algorithms
• Translate research prototypes into effective Cerebras implementations
• Debug performance issues across the ML stack




• Optimize computation, memory, and concurrency for inference
• Develop benchmarks to validate software functionality

Requirements:
• Bachelor’s or higher in Computer Science or Engineering
• Experience with high-performance systems and ML software
• Strong skills in C++ and Python
• Understanding of parallel programming and performance optimization
• Proven debugging capabilities across software layers

Lead the next generation of AI technology with powerful ML systems at Cerebras.
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📌 Core ML Engineer for Cerebras Systems (Nova Scotia)
🏢 Cerebras Systems
📍 Nova Scotia