NVIDIA logo

Senior CPU Architect

NVIDIA
May 07, 2026
Full-time
On-site
Shanghai, China
Semiconductor IP Jobs, Level - Senior

Job Title

Senior CPU Architect

Role Summary

Senior CPU modeling architect responsible for defining and implementing modeling architecture for RISC-V based embedded CPUs used in NVIDIA GPU and Tegra SoC. The role focuses on SystemC, QEMU, and performance models and requires collaboration with system software, system architects, and CPU architects to deliver accurate, high-quality virtual platforms.

Experience Level

Senior β€” typically 3+ years with a master's degree or 5+ years with a bachelor's degree in relevant experience; similar senior-level experience accepted.

Responsibilities

Accountabilities include defining model architecture, building virtual platforms, and improving model performance and power efficiency.

  • Define architecture for next-generation SystemC and QEMU models for RISC-V CPUs.
  • Develop and maintain performance models and virtual platforms.
  • Optimize model performance and power efficiency.
  • Validate models, diagnose and fix functional and performance issues, and deliver production-quality CPU models for GPU and Tegra SoC integration.
  • Collaborate with CPU architects, system architects, and system software teams to capture requirements and ensure models meet use cases.

Requirements

Must-have technical skills and relevant experience. See Education Requirements for degree information.

  • 3+ years (MS) or 5+ years (BS) experience in CPU, DSP, vector processor design, or related areas.
  • Strong programming skills in C/C++ and SystemC.
  • Practical experience with CPU model frameworks (e.g., GEM5, QEMU, Spike).
  • Experience building and validating virtual platforms and performance models for embedded CPUs.
  • Proven ability to diagnose and resolve model functional and performance issues.

Education Requirements

BS or MS in Electrical Engineering, Computer Engineering, Computer Science, Electronics Engineering, or a related technical field; PhD candidates also welcome. Equivalent practical experience is explicitly 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.

NVIDIA logo

Date Posted: 2026-05-07