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Circuit Validation Engineer Intern - 2027

Nvidia

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513 open validation roles across 69 companies are on ApplySarthi right now, most of them in Bengaluru (34), Delhi NCR (21), Hyderabad (13).

What validation roles keep asking for: Python (51%), Linux (22%), C++ (19%), Test automation (13%) — counted across their open postings here.

C++ jobs · LLMs jobs · Linux jobs · MATLAB jobs

Nvidia has 3,820 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

Preparing for this interview

Interviews for validation roles keep coming back to Python, Linux, C++, Test automation. Practise those questions before you sit with Nvidia.

Questions you are likely to be asked

  1. Why do you want to join Nvidia?
  2. What is your experience with C++? Tell me one thing you learned the hard way.
  3. How do you decide what to test, and what does good code review look like to you?
  4. Describe a time a deadline forced a trade-off in quality. What did you choose and why?
  5. How would you design an API for a feature you have worked on?

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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.

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Listed on workday · posted 2026-09-30. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.