# 2027 New College Graduate: GPU Architecture Engineering

**Company**: NVIDIA
**Experience**: entry
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/NVIDIA-2027-New-College-Graduate--GPU-Architecture-Engineering---China_JR2024108?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_c099418b-31c

## Description

We're seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve.

**Job Description:**

As a 2027 New College Graduate: GPU Architecture Engineering, you will have the opportunity to work on various projects, including:

- GPU Architecture Modeling and Performance Analysis: Conduct quantitative studies of current and future GPU architectures; develop performance and functional models; analyze graphics and parallel-compute pipelines; identify bottlenecks and propose architectural improvements.

- SoC Performance Simulation and Workload Analysis: Build and enhance performance simulators and modeling frameworks; capture, replay, and profile complex real-world application workloads; evaluate current and next-generation SoC performance across use cases.

- GPU/System Functional Validation Platform Development: Develop pre-silicon programming and test environments for next-generation GPU and system features; work across architecture, hardware, and software teams throughout the chip development lifecycle.

- GPU Functional Verification and Test Generation: Create directed and constrained-random test plans with strong coverage; generate, run, and debug tests across functional simulators, unit- and full-chip RTL, emulators, and post-silicon platforms.

- GPU and Memory-System Architecture Exploration: Explore novel GPU composition, processing, storage, and memory-system capabilities; partner with architects to validate new features and improve performance, functionality, and test coverage.

- Performance Profiling, Debugging, and Optimization: Profile system and application behavior, diagnose GPU/SoC performance bottlenecks, and develop tools and methodologies that improve analysis efficiency and overall application performance.

- Simulation, Emulation, and Silicon Bring-Up: Validate designs across multiple stages,from architectural models and RTL simulation to emulation and real silicon,and debug functional or performance issues before and after product release.

**Requirements:**

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

- Computer Architecture, GPU Architecture, Microprocessor Design, or Memory Systems

- C/C++, Python, Linux, and object-oriented software development

- GPU programming and debugging, including CUDA

- Performance/functional modeling, profiling, trace-driven or execution-driven simulation

- Computer systems, compilers, assembly language, and system modeling tools such as SystemC

- ASIC design, verification, RTL, random-test development, or post-silicon validation

- Deep learning model development or AI workload optimization

## Skills

### Required
- Electrical Engineering
- Computer Engineering
- C/C++
- Python
- Linux
- CUDA
- Computer Architecture
- GPU Architecture
- Microprocessor Design
- Memory Systems
- ASIC design
- verification
- RTL
- random-test development
- post-silicon validation
- Deep learning model development
- AI workload optimization

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/NVIDIA-2027-New-College-Graduate--GPU-Architecture-Engineering---China_JR2024108?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)