Embark on a hands-on journey with Altera as an FPGA Machine Learning Engineering Graduate Intern in Toronto, Ontario. Contribute to innovative IP block development and optimize ML workloads on FPGAs through collaborative efforts.
This full-time internship is perfect for candidates pursuing a Master’s or PhD in Electrical Engineering or a related field. You'll focus on quantization schemes to enhance performance while gaining valuable experience with the FPGA AI Suite, hardware, and software stacks. Work closely with experienced engineers to implement effective ML model improvements tailored for Altera FPGAs.
Key Responsibilities:
• Develop and evaluate quantization schemes for hardware optimization
• Collaborate on performance enhancement projects with senior engineers
• Analyze ML workloads to improve deployment efficiency on FPGAs
• Gain experience with Verilog, Python, and machine learning frameworks
• Utilize digital hardware concepts in hands-on projects
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