Undegrad Intern- AI Software Development at Intel in Folsom, CA

Summary: Intel is seeking a highly motivated undergraduate intern to join the GPU Client AI team, focusing on AI inference performance optimization on Intel GPUs. The role involves hands-on technical tasks and provides exposure to real-world AI workloads, GPU programming, and performance optimization. Responsibilities: - Assist in profiling and benchmarking AI inference workloads (e.g., LLMs, vision models) on Intel GPUs - Support analysis of performance bottlenecks across compiler, runtime, and kernel layers under guidance - Contribute to C++ codebases related to AI runtimes, tooling, or performance experiments - Learn and apply best practices in debugging, performance measurement, and code quality in a production environment Required Qualifications: - Currently pursuing a Bachelor's degree in Computer Science or a related field - Strong fundamentals in C++ - Coursework or projects involving Parallel programming or Machine learning - Ability to work ~16 hours per week for 6 months or longer - Strong problem-solving skills and eagerness to learn Preferred Qualifications: - Exposure to machine learning or AI frameworks through coursework or projects (e.g., PyTorch, TensorFlow, OpenVINO) - Basic understanding of GPU programming concepts (e.g., SIMD, threading, memory hierarchies) - Prior internship, research, or class projects related to performance optimization or systems programming - Interest in AI performance, compilers, runtimes, or hardware-software co-optimization Required Skills: C++, Parallel programming, Machine learning, GPU programming concepts, AI frameworks, Performance optimization, Systems programming, Eagerness to learn Benefits: Competitive pay, Stock bonuses, Health, Retirement, Vacation