Hardware Machine Learning PhD Research Internship

📋 Description Architect and develop an ML focused research project based on real-world use cases Work hands-on with hardware engineers to implement, verify, and deploy ML inference solutions Track and evaluate emerging research in neural architecture search, machine learning systems and Present your project to the team, deepening our collective understanding of an area of ML Gain hardware design fundamentals from skilled RTL developers and learn how they apply to our Build skills to evaluate research not only from an academic perspective, but through real-world 🎯 Requirements Currently enrolled in a PhD program in Electrical Engineering, Computer Science, Physics, or a Solid understanding of hardware constraints and design trade-offs (e.g., pipelining, resource Experience with hardware fundamentals, whether through VHDL/SystemVerilog development, HLS tools Understanding of machine learning fundamentals – neural network architectures, inference Proficiency in Python or similar languages for tooling, testing, and simulation Strong communication skills and ability to work collaboratively across disciplines with both 🎁 Benefits Discretionary bonus Paid leave Insurance