Job Details:

Job Description: 

Job Description
We are looking for a Summer Research + Engineering Intern to join our team and work on agentic AI software solutions - systems where LLMs autonomously plan, reason, use tools, and act across complex, multi-step tasks. This is a hybrid role that blends research exploration with hands-on engineering: interns will prototype novel agent architectures, run experiments to evaluate agent capabilities, and ship working software that contributes directly to the team's goals.

Interns will be paired with a senior mentor and work alongside ML engineers and research scientists. This is a rare opportunity to contribute to frontier AI engineering at the undergraduate level, in an environment that values curiosity, ownership, and the ability to learn fast. Strong candidates from prior cohorts at leading AI labs and research institutions have gone on to full-time offers or graduate school placements in AI.

Responsibilities:
Day-to-day work will span both research and implementation, and may include:

• Designing and prototyping AI agent architectures - building agents capable of multi-step planning, tool use, memory retrieval, and environment interaction
• Implementing multi-agent systems - orchestrating multiple specialized agents to collaborate on complex, long-horizon tasks using open-source agentic frameworks
• Integrating agents with external tools and APIs - connecting LLM-based agents to backend services, databases, code execution sandboxes, and web APIs
• Building and running evaluations - designing rigorous benchmarks and evaluation harnesses to measure agent reliability, reasoning quality, and task success rate
• Conducting literature reviews and experiments - surveying state-of-the-art agentic AI research, implementing baselines, and running ablations to identify what works
• Optimizing agent behavior - identifying failure modes such as context-window degradation, high latency, and weak spatial reasoning, and iterating on prompting strategies, memory systems, and tool-use logic
• Documenting architecture decisions - producing clear technical write-ups, diagrams, and code documentation so work is reproducible and shareable
• Presenting findings to the team - communicating research results and engineering decisions in weekly syncs and a final intern project presentation

Qualifications:

Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Minimum Qualifications:

• Currently enrolled in a Bachelor's degree program in Computer Science, Computer Engineering, Mathematics, Statistics, or a related technical field

Preferred Qualifications:

• Python proficiency: Strong, practical Python coding skills - comfortable writing clean, testable, modular code.
• Software engineering fundamentals: Comfort with Git/version control, debugging, API integration, and basic data structures and algorithms.
• Machine learning foundations: Coursework or practical experience in machine learning, deep learning, or NLP - understanding of how neural networks learn, what training and inference mean, and basic model evaluation.
• Familiarity with LLMs: Experience working with LLMs and understanding of prompt engineering, context windows, and model capabilities
• Curiosity and learning agility: Ability to pick up new frameworks and concepts quickly, debug when things break, and make progress on loosely defined problems.
• Communication skills: Ability to explain technical work clearly in writing and verbally, to both technical and non-technical audiences.

What We're Looking For (Beyond the Rsum)

• Intellectual curiosity: Genuinely excited about agentic AI, autonomous systems, and the research questions that make them hard.
• Builder mentality: Wants to ship working prototypes quickly, learn from failures, and iterate fast.

Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.

This position is not eligible for Intel immigration sponsorship.

Job Type:

Student / Intern

Shift:

Shift 1 (United States of America)

Primary Location: 

US, California, Santa Clara

Additional Locations:

Business group:

The Client Computing Group (CCG) is responsible for driving business strategy and product development for Intel's PC products and platforms, spanning form factors such as notebooks, desktops, 2 in 1s, all in ones. Working with our partners across the industry, we intend to deliver purposeful computing experiences that unlock people's potential - allowing each person use our products to focus, create and connect in ways that matter most to them.

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 be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * 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.