CPU Design Methodology Engineer
NVIDIAJob Title
CPU Design Methodology Engineer
Role Summary
Join NVIDIA's CPU team to develop methodologies, automation, and RTL-integration tooling that enable efficient SoC creation and chip builds. You will work across ASIC, physical design, CAD, package, software, and DFT teams to improve front-end implementation flows and scale chip development.
Experience Level
Mid-level — typically requires 5+ years of ASIC/chip design experience with a focus on SoC integration and design automation.
Responsibilities
Primary responsibilities include:
- Define and develop system-level methodologies and tools to build SoCs efficiently and at scale.
- Identify front-end implementation inefficiencies and design automation opportunities; propose solutions.
- Own front-end RTL quality checks and reviews to provide high-quality RTL to physical design.
- Integrate and validate RTL within SoC integration flows and interfaces.
- Collaborate with ASIC, physical design, CAD, package, software, and DFT teams during chip build and assembly.
Requirements
Must-have technical skills and experience:
- 5+ years of chip design experience focused on SoC integration and design automation.
- Experience with RTL design (Verilog) and verification (UVM, SystemVerilog).
- Familiarity with SoC design/integration flows and design automation tools.
- Strong scripting and coding skills (Perl, Python, or similar).
- Excellent analytical and problem-solving abilities and good interpersonal skills.
- Nice-to-have: experience with synthesis and physical design.
Education Requirements
Master's degree in Computer Engineering or Electrical Engineering is listed as preferred; equivalent practical experience is accepted.
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.
