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HPC Architect Intern
Confirmed live in the last 24 hours
Locations
Reading, UK
Experience Level
Intern
Desired Skills
CUDA
C/C++/C#
Java
Python
Requirements
  • You are pursuing a PhD or MS in CS, EE or CSEE
  • Background in computer architecture or parallel programming
  • Programming skills in C++/Java/Python
Responsibilities
  • Creating new analysis methodologies for automating performance analysis on NVIDIA systems
  • Develop tools to semi-automate bottleneck identifications for HPC applications
  • Learn about how applications are accelerated by GPUs and impact of various system design choices on their performance
  • Develop methods to quantify sensitivity of applications to architectural parameters
Desired Qualifications
  • Familiarity with GPU computing (CUDA) is a plus
  • Past experience in scalable tool development is a plus
NVIDIA

10,001+ employees

Designer & manufacturer of computer chips & graphics processors
Company Overview
NVIDIA is on a mission to solve the world's most stimulating technology problems – in industries ranging from gaming to scientific exploration.
Company Core Values
  • Innovation
  • Speed & Agility
  • Intellectual Honesty
  • Excellence
  • One Team