Description
NVIDIA is seeking an expert deep learning system performance architect to join its deep learning modelling, performance optimization, projections, and analysis effort. You will have the opportunity to optimize deep learning hardware and software architecture and make a significant impact in a dynamic technology-focused company.
Responsibilities:
- Benchmark and analyze performance of various machine learning/deep learning algorithms on different GPU/NPU architectures
- Develop performance models and provide performance projections for deep learning workloads on different architectures
- Identify architecture, software, and system performance bottlenecks and propose optimizations
- Explore new features and hardware capabilities on deep learning applications
Requirements:
- BSc, MS, or PhD in a relevant discipline (CS, EE, Math, etc.)
- Familiarity with GPU or Accelerator-based deep learning platforms and software stacks
- Strong background in computer architecture
- Familiarity with LLM or generative AI deep learning algorithms and kernel optimizations
- Experience in system architecture design and performance optimization
- Familiarity with machine learning and deep learning frameworks
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/Deep-Learning-Performance-Intern---2027_JR2027348