Deep Learning Performance Architect

Posted:
8/22/2024, 6:15:44 PM

Location(s):
Shanghai, China

Experience Level(s):
Mid Level

Field(s):
AI & Machine Learning ⋅ Software Engineering

NVIDIA is developing processor and system architectures that accelerate deep learning, automotive and high-performance computing applications. We are looking for an expert deep learning system 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 the significant impact in a dynamic technology focused company

What you’ll be doing:

  • Analyze performance of various machine learning/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.,)

  • 4+ years of working experience in relevant directions will be a plus

  • 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

NVIDIA

Website: https://www.nvidia.com/

Headquarter Location: Santa Clara, California, United States

Employee Count: 10001+

Year Founded: 1993

IPO Status: Public

Last Funding Type: Grant

Industries: Artificial Intelligence (AI) ⋅ GPU ⋅ Hardware ⋅ Software ⋅ Virtual Reality