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 (Lower Sackville)
🏢 Cerebras Systems
📍 Lower Sackville