Internship: FPGA and Machine Learning Engineering

Gain hands-on experience with Altera as an FPGA Machine Learning Engineering Graduate Intern in Toronto. Work on developing innovative hardware solutions that accelerate machine learning workflows.

In this exciting role, you will actively participate in evaluating quantization schemes aimed at optimizing FPGA performance for machine learning applications. Collaborating with experienced engineers, you'll enhance your understanding of both hardware and software while contributing to real-world projects that empower customers deploying ML models.

Key Responsibilities:

• Research and evaluate quantization techniques for FPGA

• Contribute to the design and analysis of hardware enhancements

• Collaborate on improving machine learning workload performance

• Work hands-on with the FPGA AI Suite and related tools

• Participate in a supportive and innovative team environment

Requirements:

• Currently pursuing a Master’s or PhD in relevant engineering

• Solid foundations in digital hardware and machine learning concepts

• Experience with FPGA design or coding skills in C/C++ or Python

• Strong analytical skills and a collaborative mindset

• Excellent communication skills in a team context

Elevate your engineering skills in machine learning and FPGA technology with Altera's innovative team.
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