Explore an innovative internship at Altera as an FPGA Machine Learning Engineering Graduate Intern in Toronto, Ontario. Contribute to developing hardware solutions aimed at optimizing machine learning performance.
This full-time position is designed for Master's or PhD candidates in Electrical or Computer Engineering. You will evaluate quantization schemes that drive effective ML deployments on FPGAs, gaining hands-on exposure to both hardware and software environments. Collaborate closely with engineers to enhance the performance of machine learning models.
Key Responsibilities:
• Investigate and develop quantization methods for Altera FPGAs
• Participate in the analysis and design of ML performance enhancements
• Gain hands-on experience with FPGA design using programming tools
• Engage in team collaborations and knowledge sharing
• Exhibit digital hardware concepts throughout projects
Requirements:
• Currently pursuing a graduate degree in relevant fields<...