AI Native Hardware & Software Codesign Intern

What you'll do

• Develop research prototypes and conduct experiments in areas like compiler development, kernel optimization, or RTL generation.
• Apply machine learning, generative AI, and reinforcement learning to solve hardware and software engineering challenges.
• Investigate post-training methods to extend the capabilities of open models for complex technical tasks.
• Design benchmarks to evaluate system performance, correctness, efficiency, and engineering productivity.
• Explore cross-layer connections between different components of the computing stack.
• Document research findings through technical reports, presentations, code, and potential publications.

What we're looking for

• Bachelor's Degree required; Master's Degree preferred.
• Must be currently enrolled in a Master's or PhD program in computer science, computer engineering, electrical engineering, or a related field.
• Strong programming or hardware development skills in languages such as Python, C, C++, Verilog, or SystemVerilog.
• Demonstrated experience in areas like compilers, kernel development, machine learning systems, reinforcement learning, computer architecture, digital design, RTL development, or hardware verification.
• Experience conducting technical experiments, debugging complex systems, analyzing quantitative results, or developing research prototypes.
• Ability to communicate technical ideas and collaborate effectively in a multidisciplinary research environment.
• Experience with reinforcement learning, reward modeling, or post-training techniques for extending open models is preferred.
• Experience with generative AI, LLMs, compiler/kernel technologies (LLVM, MLIR, Triton, CUDA), or hardware simulation tools is preferred.