AI Hardware Engineer – Intern

Job Details:

Job Description:

We are seeking a talented and motivated FPGA Machine Learning Overlay Engineering Intern to join our dynamic team. Our team is dedicated to creating cutting-edge IP blocks and hardware solutions that enable customers to seamlessly integrate advanced machine learning algorithms into their designs, specifically targeting Altera FPGAs. As a key member of our team, you will focus on designing, implementing, and optimizing hardware overlay IP for efficient deployment of machine learning workloads. Your primary responsibility will be to ensure that our FPGA architectures and IP cores remain at the forefront of technology by adding support for new types of machine learning operations, improving performance, and adapting to the fast-paced advancements in the field. This position offers an exciting opportunity to work in a collaborative environment where innovation and creativity in hardware design are highly valued.

Qualifications:

The candidate must be pursuing a Bachelor’s Degree in Computer Engineering, Electrical Engineering, Engineering Science, Computer Science, Mathematics, or similar and:

• 3+ months of experience or coursework in one, or more, of the following: C/C++, Python, digital logic, FPGAs, Verilog, or similar.

Job Type:

Student / Intern (Fixed Term)

Shift:

Shift 1 (Canada)

Primary Location:

Toronto, Ontario, Canada

Additional Locations:

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.