AI Engineer Intern (+PPO)

About this role

About the role: - Work on artificial intelligence and machine learning systems at the intersection of software and hardware optimization - Profile and analyze the performance characteristics of neural network models and computational kernels - Develop and refine code targeting specialized compute platforms and acceleration frameworks - Contribute to projects that bridge high-level AI applications with low-level system efficiency What you'll work on: - Performance measurement and analysis of model inference and kernel execution - Writing optimized code in compiled languages for hardware-accelerated computing - Hands-on development using compute frameworks such as CUDA, DSP, NEON or Triton-lang - Debugging complex interactions between software and underlying processor architecture What we're looking for: - Currently enrolled in a Bachelor's, Master's or PhD program in Computer Science, Electrical Engineering or a closely related discipline - Deep technical knowledge of C/C++ and Python - Clear grasp of how computer architecture functions and the way software maps to hardware - Ability to solve intricate technical problems and trace bugs systematically - Skill in explaining technical concepts clearly to teammates Preferred background: - Prior coursework or projects involving model inference profiling or kernel performance tuning - Hands-on experience with assembly language - Previous internship in hardware-focused software work or AI and machine learning optimization Career growth: - Strong performance may lead to a pre-placement offer (PPO)