Deep Learning Performance Intern - 2027
At a glance
Junior AI Research role at NVIDIA. China, Shanghai · full-time.
Pay not stated AI Research salary
aimlroles summary, based on the employer's posting.
What you'll do
- Measure how deep learning algorithms perform across different architectures
- Find slowdowns in hardware designs and software, then recommend ways to improve them
- Test how deep learning applications use new processor features and hardware capabilities
What you bring
- A bachelor's, master's or doctoral degree in a relevant field such as computer science, electrical engineering or mathematics
- Familiarity with GPU- or accelerator-based deep learning platforms and their software stacks
- Strong knowledge of computer architecture, plus experience designing systems and improving performance
- Familiarity with machine learning and deep learning frameworks
Who this fits
This internship suits someone with a relevant technical degree and a background spanning computer architecture, system design and deep learning software. The role is located in China.
From the employer
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