CPU Design Methodology Engineer

Posted 2 Days Ago
Be an Early Applicant
4 Locations
In-Office or Remote
168K-311K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develop scalable system-level methodologies and automation tools for SOC creation. Identify and resolve inefficiencies in front-end chip implementation, own RTL quality checks and reviews, and collaborate with ASIC, physical design, CAD, package design, software, and DFT teams. The role requires expertise in SOC integration, RTL design and verification, design automation, scripting, synthesis, and physical design workflows.
Summary Generated by Built In

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 August 22, 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.

Skills Required

  • Master’s degree in Computer Engineering, 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 with RTL design using Verilog
  • Experience with verification using UVM and SystemVerilog
  • Experience with system-on-chip design and integration flows
  • Experience with design automation
  • Strong coding skills in Perl, Python, or other industry-standard scripting languages
  • Experience in synthesis and physical design
  • Good interpersonal skills

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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