Job Description

We are seeking a talented and motivated FPGA Machine Learning Engineering Graduate Intern to join our dynamic team. Our mission is to develop innovative IP blocks and hardware solutions that enable customers to accelerate machine learning workloads on Altera FPGAs. As an intern, you will contribute to the development and evaluation of quantization schemes optimized for our hardware, empowering customers to achieve optimal performance and efficiency when deploying ML models on FPGAs. You will gain hands‑on experience with the FPGA AI Suite, including both hardware and software stacks, and work closely with senior engineers to analyze, design, and implement enhancements that improve the performance of ML workloads on Altera FPGAs. This is an exciting opportunity to innovate at the intersection of hardware and machine learning in a collaborative and creative environment.

Canadian work experience is not required for this role. We use artificial intelli...