Machine Learning Engineer (Toronto)

About the Role

We are seeking a Machine Learning Engineer to help drive the development, optimization and deployment of Altera FPGA Compiler. This role is at the intersection of machine learning and compiler/toolchain development, enabling customers to achieve breakthrough performance and efficiency on programmable logic.

Key Responsibilities

• Develop, optimize, and deploy advanced machine learning technologies to enhance FPGA compiler performance, focusing on timing closure, resource utilization, and power efficiency.
• Evaluate and integrate emerging ML models (graph neural networks, reinforcement learning) and frameworks (PyTorch, TensorFlow) for compiler optimization tasks like placement, routing, and logic synthesis.
• Build robust tools, scripts, and CI/CD workflows to automate model conversion, quantization, pruning, and deployment within the FPGA design flow, ensuring compatibility with EDA tools such as Quartus.
• Collabo...