NVIDIA 2027 New College Graduate: GPU Architecture Engineering - China

Job Title

NVIDIA 2027 New College Graduate: GPU Architecture Engineering - China

Role Summary

Join NVIDIA's GPU Architecture teams to work on architecture, modeling, simulation, verification, and performance optimization for GPUs and SoCs. This new college graduate role involves cross-disciplinary work with architects, hardware, and software teams across the chip development lifecycle.

Focus areas include performance and functional analysis, simulator and validation infrastructure, and improving GPU/system performance.

Experience Level

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

Responsibilities

Typical responsibilities for this role include:

• Develop and run performance and functional models to evaluate GPU and SoC architectures.
• Build, extend, and run performance simulators and modeling frameworks; capture and replay real application workloads.
• Design and implement pre-silicon programming, test environments, and validation infrastructure.
• Create directed and constrained-random test plans; run and debug tests on simulators, RTL, emulators, and silicon.
• Profile applications and systems to diagnose bottlenecks and guide architectural or software optimizations.
• Explore memory-system and GPU architecture features with architects to validate and improve designs.
• Support simulation, emulation, and silicon bring-up and debug across multiple development stages.

Requirements

Core technical skills and experience expected for applicants.

Must-have

• Proficiency in C/C++, Python, and Linux; object-oriented software development.
• Experience or coursework with GPU programming and debugging (CUDA) and performance profiling.
• Familiarity with performance/functional modeling, profiling, trace- or execution-driven simulation.
• Understanding of computer systems, compilers, and assembly language; exposure to system modeling tools (e.g., SystemC).

Nice-to-have

• Experience with ASIC design, RTL, verification, random-test development, or post-silicon validation.
• Experience developing deep learning models or optimizing AI workloads.
• Experience with emulation, hardware bring-up, or large-scale workload profiling.

Education Requirements

Expected to graduate in 2027 with a Bachelor's, Master's, or PhD in Electrical Engineering, Computer Engineering, or a related technical field.

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.