Hardware Machine Learning PhD Research Internship

What you'll do

• Design and develop a focused ML research project, then present findings and deliver a prototype or benchmark.
• Work with hardware engineers to implement, verify, and deploy ML inference solutions.
• Evaluate research in neural architecture search, machine learning systems, and quantization for measurable system improvements.

What they ask for

• Currently enrolled in a PhD program in Electrical Engineering, Computer Science, Physics, or a related field.
• Understand hardware constraints and trade-offs relevant to mapping ML models onto FPGAs or custom ASICs.
• Have experience with hardware fundamentals through VHDL/SystemVerilog, HLS tools, or ML-to-hardware frameworks.
• Understand ML fundamentals and frameworks, and be proficient in Python or similar languages.

Pay

$225,000 USD base salary

Tools

VHDL, SystemVerilog, HLS, hls4ml, FINN, Vitis AI, PyTorch, TensorFlow

AI focus

Research and deploy low-latency ML inference and hardware acceleration, including quantization and neural architecture search.