ApplySarthi

CPU Design Methodology Engineer

Nvidia

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This role on the market

84 open methodology roles across 16 companies are on ApplySarthi right now, most of them in Hyderabad (9), Bengaluru (8), Delhi NCR (1).

What methodology roles keep asking for: Python (60%), Perl (36%), C++ (24%), Deep learning (14%) — counted across their open postings here.

Nvidia has 3,839 open roles listed here.

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

Preparing for this interview

Interviews for methodology roles keep coming back to Python, Perl, C++, Deep learning. 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 Perl? 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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Practise the CPU Design Methodology Engineer at Nvidia interview free →

We are now looking for a Senior CPU Design Methodology Engineer! The complexity of chip development has greatly increased over the years. We are now packing tens of billions of transistors in a chip to meet the growing computing demand in a footprint that is responsible to our environment. The NVIDIA CPU team is looking for a top ASIC Engineer with an interest in SOC design automation, RTL integration, and chip build and assembly. You should be passionate about developing methodologies and automation solutions that enable SOC creation in the most optimized way. In this position, you will get the chance to build complex chips and interact directly with unit-level ASIC, Physical Design, CAD, Package Design, Software, DFT and other teams. What you'll be doing: Define and develop system-level methodologies and tools to build SOCs in an efficient and scalable manner Identify inefficiencies and improvement opportunities in the front-end chip implementation process and propose ideas to address them Own front-end design quality checks and reviews to present the physical design team with high-quality RTL What we need to see: A Masters in Computer or Electrical Engineering or equivalent experience 8+ years of experience in chip design, specializing in SOC integration and design automation Excellent analytical and problem-solving skills Experience in RTL design (Verilog), verification (UVM, System Verilog), System-On-Chip design/integration flow, and design automation Strong coding skills in Perl, Python, or other industry-standard scripting languages Experience in synthesis and physical design is a plus Good interpersonal skills. With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We employ some of the most forward-thinking and hardworking people in the world. Are you passionate about becoming a part of an outstanding team supporting the latest in CPU technology? If so, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until September 25, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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Listed on workday · posted 2026-10-30. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.