NVIDIANVIDIA 2027 New College Graduate: GPU Architecture Engineering - China
NVIDIA is hiring a NVIDIA 2027 New College Graduate: GPU Architecture Engineering - China in Shanghai, China. Level rates it ; you can apply on NVIDIA.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- The posting mentions Rtl, Simulators and Emulators among its tools and skills.
- Level classes it as an internship.
- NVIDIA has 2,700+ other open roles on Level.
AI in this role
Graduate role focused on GPU architecture modeling, performance analysis, SoC simulation, and hardware validation.
By submitting your resume, you’re expressing interest in one of our 2027 GPU Architecture Engineer – New College Grad roles. We’ll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our new college graduate opportunities. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society — from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create.
We offer an excellent opportunity to expand your career and get hands on experience with one of our industry leading GPU Architecture teams. We’re seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve.
Potential NCG opportunities in this field include:
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.
What we need to see:
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
How we rate this
NVIDIA 2027 New College Graduate: GPU Architecture Engineering - China at NVIDIA rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where gpu architecture was part of your work. What did you do?
- Tell me about a project where performance modeling was part of your work. What did you do?
- Tell me about a project where soc simulation was part of your work. What did you do?
- Tell me about a project where functional verification was part of your work. What did you do?
- Tell me about a project where hardware validation was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: GPU Architecture, Performance Modeling, Soc Simulation, Functional Verification, and Hardware Validation. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Want an expert to read your CV for this job?
Free. Send your CV and the role you want next. You get your review by email within 24 hours.
Get new software engineering jobs by email
One email a week with the new software engineering jobs, each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Software Engineering roles that involve little AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step