Job Description
Join Altera as a Graduate Intern focusing on FPGA Machine Learning Engineering in Toronto, Ontario. Dive deep into developing cutting-edge IP blocks that enhance machine learning performance on FPGAs.
This full-time intern role is ideal for students pursuing advanced degrees in Electrical Engineering or related disciplines. You will explore quantization techniques, leveraging hands-on experience with the FPGA AI Suite. Collaborating with seasoned engineers, you will implement and design solutions that optimize machine learning workloads, ensuring efficiency in deployment.
Key Responsibilities:
• Analyze and design quantization schemes for FPGA hardware
• Collaborate on ML performance enhancement initiatives
• Utilize programming skills to improve FPGA operation
• Gain expertise in digital hardware and machine learning frameworks
• Participate in team meetings to share insights and foster collaboration
Requirements:
This full-time intern role is ideal for students pursuing advanced degrees in Electrical Engineering or related disciplines. You will explore quantization techniques, leveraging hands-on experience with the FPGA AI Suite. Collaborating with seasoned engineers, you will implement and design solutions that optimize machine learning workloads, ensuring efficiency in deployment.
Key Responsibilities:
• Analyze and design quantization schemes for FPGA hardware
• Collaborate on ML performance enhancement initiatives
• Utilize programming skills to improve FPGA operation
• Gain expertise in digital hardware and machine learning frameworks
• Participate in team meetings to share insights and foster collaboration
Requirements: