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 effective 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 settings.

Key Responsibilities:
Design high-performance kernels for Core ML algorithms
Translate research prototypes into productive 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.

📌 Core Ml Engineer For Cerebras Systems Halifax Regional Municipality
🏢 Cerebras Systems
📍 Halifax Regional Municipality