POSTING ACTIVE · REQ-98E79 · FY26.Q4
Deep Learning Performance Intern - 2027
[ COMPENSATION RANGE · ANNUAL · BASE ]
Not Disclosed
§ 01
OVERVIEW
NVIDIA is developing GPU and system architectures that accelerate deep learning, automotive and high-performance computing applications. We are looking for an expert deep learning performance architect to join our deep learning modelling, perf optimization, projections, and analysis effort. In this position, you will have the chance to optimize deep learning processor and software architecture and make a significant impact in a dynamic technology focused company
§ 02
WHAT YOU’LL BE DOING
- Analyze performance of various deep learning algorithms on different architectures
- Identify architecture and software performance bottlenecks and propose optimizations
- Explore new features and hardware capabilities on deep learning applications
§ 03
WHAT WE NEED TO SEE:
- BSc. MS or PhD in relevant discipline (CS, EE, Math, etc.,)
- Be familiar with GPU or accelerator-based deep learning platform and software stack
- A strong background in computer architecture
- Experience on system architecture design and performance optimization
- Familiar with machine learning and deep learning frameworks
QUESTIONS AND ANSWERS
- Where is this Deep Learning Performance Intern - 2027 role based?
- The role is based in China, Shanghai.
- What experience does NVIDIA expect for this role?
- The posting is tagged as a entry-level role. Check the requirements section for specifics.
- How was this posting sourced?
- This role was pulled directly from NVIDIA's Workday careers site. Apply links open in the employer's own ATS — no reposts or aggregator middleware.
[ APPLICATION ROUTE ]WORKDAY · External ATS
Apply links open in the employer's official ATS. Always verify recruitment messages on the company's careers page before sharing personal information.
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