About the Role We are seeking a Machine Learning Engineer to help drive the development, optimization and deployment of Altera FPGA Compiler. In this role, you will work at the intersection of

machine learning and compiler/toolchain development , enabling customers to achieve breakthrough performance and efficiency on programmable logic.

You will collaborate closely with hardware architects, software engineers, and IP developers to design ML models, optimize inference pipelines, and contribute to the evolution of Altera’s FPGA Compiler.

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 (e.g., graph neural networks, reinforcement learning) and frameworks (e.g., PyTorch, TensorFlow) for compiler optimization tasks like placement, routing, and logic synthe...