Gain hands-on experience with Altera as an FPGA Machine Learning Engineering Graduate Intern in Toronto. Work on developing innovative hardware solutions that accelerate machine learning workflows.
In this exciting role, you will actively participate in evaluating quantization schemes aimed at optimizing FPGA performance for machine learning applications. Collaborating with experienced engineers, you'll enhance your understanding of both hardware and software while contributing to real-world projects that empower customers deploying ML models.
Key Responsibilities:
• Research and evaluate quantization techniques for FPGA
• Contribute to the design and analysis of hardware enhancements
• Collaborate on improving machine learning workload performance
• Work hands-on with the FPGA AI Suite and related tools
• Participate in a supportive and innovative team environment
Requirements:
• Currently pursuing a Master’s or PhD in relevant engineering
• Solid foundat...