ML Software Engineer - PEY

Job Details:

Job Description:

Come intern with one of the largest FPGA companies in the world – Altera! You will be responsible for development of our machine learning IP solution that enables our customers to incorporate machine learning algorithms into their FPGA designs. The FPGA AI Suite includes a soft IP inference engine, a machine learning compiler that targets this IP, example designs (including SoC, PCIe-attach, and hostless variants), and, where appropriate, a runtime and BSP stack for these example designs.

Our team culture is fun and supportive, and we work closely to understand customer needs and enable them to be successful. Our Toronto office is conveniently located at the intersection of Bloor and Avenue, and we have a long history of developing many of the best engineers in Toronto. The work model for this position is onsite.

Qualifications:

You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your schoolwork/classes/research and/or relevant previous job and/or internship experiences.

Minimum Qualifications

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

• 3+ months of programming experience in C, C++, or Python.

Preferred Qualifications:

• At least one course in digital logic

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.