CPU Design Methodology Engineer
NVIDIAJob Title
CPU Design Methodology Engineer
Role Summary
Senior-level ASIC/SoC methodology engineer on the NVIDIA CPU team responsible for developing system-level methodologies, automation, and RTL integration to enable efficient SOC creation.
Work closely with ASIC unit teams, Physical Design, CAD, Package Design, Software, and DFT teams. Position is posted for multiple locations (primary office: Hillsboro, OR).
Experience Level
Senior — typically requires 8+ years of chip design experience.
Responsibilities
Deliver and maintain front-end methodology, automation, and quality for CPU SOC projects.
- Define and develop system-level methodologies and tools to build SOCs efficiently and at scale.
- Identify inefficiencies in front-end chip implementation and propose automation or process improvements.
- Own front-end design quality checks and reviews; provide high-quality RTL to the physical design team.
- Collaborate across ASIC, CAD, verification, package, and software teams during chip integration and bring-up.
Requirements
Must-have skills and experience.
- 8+ years of chip design experience, specializing in SoC integration and design automation.
- RTL design experience (Verilog) and verification experience (UVM, SystemVerilog).
- Hands-on experience with SoC design/integration flows and design automation tools.
- Strong scripting skills (Perl, Python, or similar) for methodology and automation tasks.
- Excellent analytical and problem-solving skills and good interpersonal communication.
- Experience owning front-end quality checks and reviews.
- Nice-to-have: experience with synthesis and physical design.
Education Requirements
Master's degree in Computer Engineering or Electrical Engineering, or equivalent practical experience; related technical degrees accepted. (The posting explicitly allows equivalent experience in lieu of the degree.)
About the Company
Company: NVIDIA
Headquarters: Santa Clara, California, USA
NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.
