Deep Learning Performance Intern - 2027
The intern will evaluate deep learning workloads on NVIDIA GPUs and identify performance bottlenecks across software and hardware layers. They will propose and prototype optimizations to improve throughput and efficiency for upcoming AI applications.
Skills required
About this role
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
