Deep Learning Performance Intern - 2027
Requirements at a glance
Deep Learning Performance Intern - 2027 at NVIDIA is a role based in China, Shanghai. The posting mentions a doctorate. It does not mention visa sponsorship. Key skills include Machine learning and Deep learning. Applications are submitted through Workday.
- Education
- Doctorate (PhD) (mentioned)
- Visa sponsorship
- Not mentioned in the posting
- Application platform
- Workday
Skills in this posting
- Machine learning
- Deep learning
Extracted automatically from the job description. Confirm details in the full posting below.
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
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
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