AI Developer Intern — Interconnect Hardware Frontend, 2027
NVIDIA is hiring an AI Developer Intern — Interconnect Hardware Frontend, 2027 in Shanghai, China. Level rates it ; you can apply on Level.
Level's read on this job
- Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include Python, rtl and verification.
- Level files it as an internship.
- Level lists 2,700+ other open roles at NVIDIA.
- The role was posted in the last few days.
AI in this role
AI Developer Intern exploring and prototyping AI-assisted workflows for hardware frontend, RTL, verification, and debug.
NVIDIA's MSS-Interconnect frontend team is looking for an intern to help explore where modern AI can create real value for RTL, verification, debug, and design-review workflows. During your internship, you will take a focused AI-for-hardware use case from idea to working prototype, evaluate current AI tools and agents on real engineering problems, and help the team learn which capabilities are worth adopting. You will work alongside RTL, verification, CAD, and methodology engineers on a global, cross-site team.
What you'll be doing:
- Prototype AI-assisted workflows for a focused hardware frontend problem — RTL, verification, debug, code understanding, or design review — and iterate with the engineers who use it.
- Evaluate new AI tools, models, and agent capabilities on real engineering tasks, and help assess which are worth adopting.
- Build small, reusable tools or automation that make a concrete workflow faster or more reliable.
- Partner with hardware engineers to turn a real pain point into a practical AI use case, and refine it based on usage and feedback.
- Share what works and what doesn't so the team can decide where to experiment and invest further.
What we need to see:
- Currently pursuing a BS, MS, or PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
- Solid Python and software engineering fundamentals, with some experience building automation, scripts, or tools.
- Exposure to hardware frontend workflows — RTL design, verification, debug, or design methodology — through coursework, projects, research, or prior internships.
- Enough hardware understanding to judge whether an AI-assisted solution is actually useful and technically sound.
- Strong problem-solving, communication, and a collaborative, self-driven attitude.
Ways to stand out from the crowd:
- Hands-on experience building or using LLM-based tools, agents, or AI-assisted workflows — in coursework, research, or personal projects.
- Strong familiarity with modern AI tooling and good judgment on which new tools are worth trying.
- Coursework, research, or projects in frontend hardware development or debug-intensive workflows.
- Familiarity with Interconnect, NoC, Memory System, bus-fabric, or related silicon domains.
How we rate this
AI Developer Intern — Interconnect Hardware Frontend, 2027 at NVIDIA rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where rtl was part of your work. What did you do?
- Tell me about a project where verification was part of your work. What did you do?
- Tell me about a project where hardware design was part of your work. What did you do?
- Tell me about a project where automation was part of your work. What did you do?
- Walk me through how you've used Python in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Rtl, Verification, Hardware Design, Automation, and Python. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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