New College Graduate, GPU Architecture Engineering (China)

Job Title

New College Graduate, GPU Architecture Engineering (China)

Role Summary

Entry-level position on NVIDIA's GPU architecture teams in China focused on performance, modeling, verification, and system validation across GPU and SoC designs. Work spans pre-silicon modeling and simulation to post-silicon bring-up, collaborating with architects, hardware, and software engineers throughout the chip development lifecycle.

Experience Level

Entry-level — New college graduate; expected to graduate in 2027.

Responsibilities

Typical responsibilities include:

• Develop and run performance and functional models to evaluate GPU and SoC architectures.
• Build and enhance performance simulators, profiling frameworks, and workload capture/replay tools.
• Design and maintain pre-silicon programming, test environments, and validation platforms.
• Create directed and constrained-random tests; run and debug tests on simulators, RTL, emulators, and silicon.
• Investigate GPU and memory-system architectures; propose and validate architectural improvements.
• Profile, diagnose, and optimize system and application performance.
• Validate designs across modeling, simulation, emulation, and silicon bring-up stages.
• Collaborate with cross-functional teams (architecture, hardware, software) during design and release cycles.

Requirements

Key technical skills and experience.

Must-have:

• Proficiency in C/C++ and Python; experience with Linux and object-oriented software development.
• Familiarity with GPU programming and debugging (CUDA).
• Knowledge of performance/functional modeling, profiling, and trace- or execution-driven simulation.
• Understanding of computer systems, compilers, and assembly language.

Nice-to-have:

• Experience with system modeling tools such as SystemC.
• Background in ASIC design, RTL, verification, random-test development, or post-silicon validation.
• Experience with deep learning model development or AI workload optimization.

Education Requirements

Expected to graduate in 2027 with a Bachelor's, Master's, or PhD in Electrical Engineering, Computer Engineering, or a related field. Relevant subject areas mentioned include Computer Architecture, GPU Architecture, Microprocessor Design, and Memory Systems.

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.