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