14d ago

AI Software Technical Intern

OtherSoftware

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Quick Summary

Requirements Summary

Minimum Qualifications Currently enrolled in an accredited Master's or Ph.D. program in Computer Science, Computer Engineering, Electrical Engineering, or a closely related discipline.

Technical Tools

OtherSoftware

Responsibilities

~1 min read

Accelerate development and debugging efficiency by leveraging GitHub Copilot and state-of-the-art LLM capabilities across team repositories.
Prototype and deploy agentic AI workflows and tools (e.g., Model Context Protocol [MCP] integrations, automated log and trace summarization, error diagnosis).
Build AI-assisted test generation tools and validation scripts using Python and unit testing frameworks (e.g., GoogleTest).

Collect, profile, and analyze trace-driven simulation data to pinpoint memory subsystem bottlenecks, cache miss penalties, and pipeline stalls.
Create automated visualization dashboards and reporting scripts to present performance trade-offs to senior architecture and design teams.
Investigate anomaly detection in large-scale simulation telemetry using machine learning and statistical analysis techniques.

Requirements

~1 min read

Currently enrolled in an accredited Master's or Ph.D. program in Computer Science, Computer Engineering, Electrical Engineering, or a closely related discipline.
Strong proficiency in C++ (modern C++17/20 preferred) and Python.
Solid foundational knowledge of computer architecture principles (cache hierarchies, memory coherence, pipelining, and vector/SIMD processing).
Experience with Linux/Unix environments, version control systems (Git), and modern build pipelines (CMake, Ninja).
Familiarity with utilizing AI developer tooling (e.g., GitHub Copilot, Anthropic APIs, or local LLM runtimes) for software engineering.

What We Offer

~2 min read

✓Mentorship from industry-leading Principal Engineers and Architects in GPU architecture and AI system design.

✓Exposure to pre-silicon hardware validation methodologies used across world-class compute products.

✓An innovative environment where you are encouraged to experiment with and deploy the latest generative AI paradigms into traditional systems engineering.

✓Competitive intern compensation, technical networking events, and career development sessions

Student / Intern

Shift 1 (United States of America)

US, California, Santa Clara

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.

N/A

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.

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.