AI Developer Intern - Interconnect Hardware Frontend, 2027

Job Title

AI Developer Intern - Interconnect Hardware Frontend, 2027

Role Summary

Internship on NVIDIA's MSS-Interconnect frontend team to explore and prototype AI-driven improvements for RTL, verification, debug, and design-review workflows. Work with RTL, verification, CAD, and methodology engineers on a global team to take focused AI-for-hardware use cases from idea to working prototype and evaluate tool effectiveness.

Experience Level

Entry-level (Internship). Targeted at current undergraduate or graduate students.

Responsibilities

Deliver a focused prototype and evaluate AI tool suitability for real engineering workflows; collaborate with engineers to refine solutions.

• Prototype AI-assisted workflows for a hardware frontend problem (RTL, verification, debug, code understanding, or design review) and iterate with end users.
• Evaluate AI tools, models, and agent capabilities on engineering tasks and document findings.
• Build small, reusable tools or automation to make workflows faster or more reliable.
• Partner with hardware engineers to convert pain points into practical AI use cases and refine them based on feedback.
• Share results and recommendations to inform team decisions on experimentation and investment.

Requirements

Must-have technical skills and attributes for the internship.

• Solid Python and software engineering fundamentals; experience building automation, scripts, or tools.
• Exposure to hardware frontend workflows (RTL design, verification, debug, or design methodology) via coursework, projects, research, or internships.
• Practical hardware understanding sufficient to assess technical usefulness of AI-assisted solutions.
• Strong problem-solving, communication, and a collaborative, self-driven attitude.

Nice-to-have:

• Hands-on experience building or using LLM-based tools, agents, or AI-assisted workflows.
• Familiarity with modern AI tooling and judgment about tool adoption.
• Coursework, research, or projects in frontend hardware development or debug-intensive workflows.
• Knowledge of Interconnect, NoC, memory systems, bus-fabrics, or related silicon domains.

Education Requirements

Currently pursuing a BS, MS, or PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field (students actively enrolled in degree programs).

About the Company

Company: NVIDIA

Headquarters: Santa Clara, California, USA

NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.