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NVIDIA

Circuit Validation Engineer Intern - 2027

NVIDIA is hiring a Circuit Validation Engineer Intern - 2027 in Shanghai, China. Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • Uses AI ●●○○ is how Level rates this role: an ordinary role that requires AI tools.
  • The posting mentions Python, C and Perl among its tools and skills.
  • Level classes it as an internship.
  • NVIDIA has 2,700+ other open roles on Level.

AI in this role

Intern role focused on post-silicon validation and characterization of next-generation GPU ASICs using automated and AI-assisted workflows.

pythoncperlmatlaboscilloscopesmultimetersdaqai-tools
ragai-agentspost-silicon-validationcircuit-designhardware-bring-uppower-characterizationai-augmented-engineering

Silicon Co-Design Group (SCG) is a wide-ranging, multi-functional, integral team at NVIDIA. We sit at the crossroads of design, architecture, marketing, operations, and productization. Our contributions span from the arch stage and extend to defining final products. We architect innovative solutions for Datacenter, Server, Gaming, Robotics, Automotive, and Embedded markets. We are fast-paced, dynamic, share a sense of humor, and collaborate extensively to push the boundaries of what is possible. We do all of this with an eye on making groundbreaking, impactful market disruptions! We are seeking circuit validation engineer interns who are passionate about what they do and are committed to making a difference in the world through their inventions. This is a highly visible role responsible for productizing NVIDIA's chips into groundbreaking consumer, professional, server, mobile, and automotive solutions.

What you will be doing:

  • New Chip bring-up and characterize next generation of GPU ASICs in post-silicon.

  • Work closely with Chip designer and Board designer to ensure hardware meets design objectives and is ready of mass production.

  • Help design tools to automate product definitions, data collection, test case execution, and results analysis.

  • Analyze pre-production silicon in state-of-the-art process technologies for performance, power, yield, and quality to define the world’s fastest power-shipping products.

  • Develop post-silicon methodologies to characterize silicon features, correlate silicon behavior with simulations and provide design feedback.

  • AI-Driven Engineering: Build secure, traceable, and validated AI-assisted workflows for analysis, debug, and methodology automation, with human oversight for critical engineering judgments.

What we need to see:

  • Pursuing Master or PHD degree in Microelectronics/Electronic Engineering/Computer and Related Professionals.

  • Excellent problem solving, data analysis, collaborative, and interpersonal skills.

  • Hands-on experience with silicon bring up, frequency and power characterization, Tester to System/Simulation correlation, lab tools (oscilloscopes, multimeters, DAQ).

  • Experience with Perl, C/C++, Python and matlab development, Windows and Linux OS is a plus

  • Practical hands-on experience leveraging AI tools and AI-augmented engineering workflows

  • Knowledgeable in MOSFETs, LDO, DC/DC, filters, digital design, timing analysis, fault analysis, sampling, computer architecture.

Ways to stand out from the crowd:

  • Experience with Power Integrity and Signal integrity simulation and correlation with SCH/PCB design

  • Familiarity with RAG, AI agents, tool invocation, LLM benchmarking, and engineering workflow automation.

  • Proven record of technical innovation through shipped methods, tools, debug systems, patents, or published technical works.

How we rate this

Circuit Validation Engineer Intern - 2027 at NVIDIA rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGAI agentsPost Silicon ValidationCircuit DesignHardware Bring UpPower CharacterizationAI Augmented EngineeringPython

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. How do you decide when an AI agent can act on its own versus asking for approval first?
  3. Tell me about a project where post silicon validation was part of your work. What did you do?
  4. Tell me about a project where circuit design was part of your work. What did you do?
  5. Tell me about a project where hardware bring up was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: RAG, AI agents, Post Silicon Validation, Circuit Design, and Hardware Bring Up. 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.
  • Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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