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 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