# Intern - AI-for-Hardware Frontend Team

**Company**: NVIDIA
**Job type**: internship
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/AI-Developer-Intern---Interconnect-Hardware-Frontend--2027_JR2027468?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_0955192c-975

## Description

NVIDIA's MSS-Interconnect frontend team is looking for an intern to explore AI applications in RTL, verification, debug, and design-review workflows.

During this internship, you will develop a focused AI-for-hardware use case from concept to working prototype, assess current AI tools and agents on real engineering problems, and help the team identify valuable capabilities.

Responsibilities:

- Create prototypes of AI-assisted workflows for specific hardware frontend issues, such as RTL, verification, debug, code understanding, or design review, and refine them with user engineers.

- Evaluate new AI tools, models, and agent capabilities for real engineering tasks and help determine which ones are worth adopting.

- Develop small, reusable tools or automation to streamline workflows.

- Collaborate with hardware engineers to transform a significant pain point into a practical AI use case and improve it based on feedback.

- Share findings on successful and unsuccessful approaches to inform future team experiments and investments.

Requirements:

- Currently pursuing a BS, MS, or PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field.

- Solid Python and software engineering skills, with experience in building automation, scripts, or tools.

- Familiarity with hardware frontend workflows, such as RTL design, verification, debug, or design methodology, through academic projects, research, or prior internships.

- Basic hardware knowledge to evaluate the usefulness and technical soundness of AI-assisted solutions.

- Strong problem-solving, communication, and collaborative skills.

Preferred qualifications:

- Hands-on experience with LLM-based tools, agents, or AI-assisted workflows.

- Familiarity with modern AI tools and good judgment on which new tools are worth exploring.

- Experience with frontend hardware development or debug-intensive workflows.

- Knowledge of Interconnect, NoC, Memory System, bus-fabric, or related silicon domains.

## Skills

### Required
- Python
- software engineering
- Electrical Engineering
- Computer Engineering
- Computer Science
- RTL design
- verification
- debug
- design methodology

### Nice to have
- LLM-based tools
- AI-assisted workflows
- frontend hardware development
- Interconnect
- NoC
- Memory System
- bus-fabric

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/AI-Developer-Intern---Interconnect-Hardware-Frontend--2027_JR2027468?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)