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AI / ML

Deep Learning Performance Intern - 2027

NVIDIA

FresherOn-site · China, ShanghaiListed 2d ago
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🇺🇸 Santa Clara, CA, United States

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How to stand out for Deep Learning Performance Intern - 2027 at NVIDIA

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About the role

structured by ORI

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.

What you will do

  • 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 they are looking for

  • 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
deep learningGPUaccelerator-based deep learning platformscomputer architecturesystem architecture designperformance optimizationmachine learningdeep learning frameworks
Full posting text

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

#deeplearning

JR2026880
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NVIDIA

Computer Hardware Manufacturing

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

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