Undegrad Intern- AI Software Development
About The Position
We are seeking a highly motivated undergraduate intern to join the GPU Client AI team and contribute to AI inference performance optimization on Intel GPUs. This is a hands-on, technical internship designed for students who want deep exposure to real-world AI workloads, GPU performance optimization, and systems-level software engineering. This role is ideal for a student who can work part-time (~16 hours/week) for 6 months to 1 year and is interested in building strong foundations in AI software stacks, GPU programming, and performance optimization. As an intern, you will work closely with senior engineers and gradually take ownership of well-scoped technical tasks. This internship provides exposure to AI inference software stacks and how modern models map onto GPU hardware, basics of GPU architecture and parallel programming concepts, performance profiling tools and methodology for data-driven optimization, and real-world engineering workflows: code reviews, design discussions, and cross-team collaboration.
Requirements
- 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
Nice To Haves
- 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
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
Benefits
- competitive pay
- stock bonuses
- health benefit programs
- retirement benefit programs
- vacation benefit programs
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What This Job Offers
Job Type
Part-time
Career Level
Intern
Number of Employees
5,001-10,000 employees
