Toronto FPGA Machine Learning Engineering Intern

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

• Knowledge of machine learning algorithms and their implementations

• Experience with FPGA design languages and programming

• Strong analytical and problem-solving abilities

• Effective communication skills within a team setting

Join Altera to help shape the future of FPGA technology through innovative machine learning solutions.
#J-18808-Ljbffr