Undegrad Intern- AI Software Development

Job Details:

Job Description:

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.

What You Will Do
As an intern, you will work closely with senior engineers and gradually take ownership of well-scoped technical tasks, such as:
• 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

What You Will Learn
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
• Real-world engineering workflows: code reviews, design discussions, and cross-team collaboration

This position is not eligible for Intel immigration sponsorship.

Qualifications:

Minimum 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 (Nice to Have) • 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

          

Job Type:

Student / Intern

Shift:

Shift 1 (United States of America)

Primary Location:

US, California, Folsom

Additional Locations:

Business group:

The Software Team drives customer value by enabling differentiated experiences through leadership AI technologies and foundational software stacks, products, and services. The group is responsible for developing the holistic strategy for client and data center software in collaboration with OSVs, ISVs, developers, partners and OEMs. The group delivers specialized NPU IP to enable the AI PC and GPU IP to support all of Intel's market segments. The group also has HW and SW engineering experts responsible for delivering IP, SOCs, runtimes, and platforms to support the CPU and GPU/accelerator roadmap, inclusive of integrated and discrete graphics.

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

Benefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.

 

 

Annual Salary Range for jobs which could be performed in the US: $101,100.00-136,800.00 USD (Hourly Role)

 

 

The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Our standard internship rates are based on your degree, location, and the job role. Your recruiter can share more about the specific compensation range for your preferred location and job role during the hiring process.

 

 

Work Model for this Role

This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.

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ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.