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Performance Software Engineering Intern, TensorRT - Deep Learning
Posted on 3/8/2022
INACTIVE
Locations
San Jose, CA, USA
Experience Level
Intern
Desired Skills
Computer Vision
CUDA
Natural Language Processing (NLP)
Requirements
  • Pursuing or completing a Bachelor's degree in computer science or similar field or equivalent work experience
  • Performance-oriented programming experience in a language like C/C++
  • Pursuing or completing a Master's degree, PhD, or work experience in computer science or similar field
  • Prior experience with performance modelling, profiling, and code optimization
  • Architectural knowledge of CPUs and/or GPUs
  • GPU programming experience (CUDA or OpenCL)
  • Deep learning experience
Responsibilities
  • Contribute to the TensorRT codebase and make an impact on one of NVIDIA's flagship deep learning software products
  • Analyze the performance of important workloads, tuning our current software, and proposing improvements for future software
  • Develop highly optimized GPU kernels for deep learning inference
  • Work with cross-collaborative teams of deep learning experts and GPU architects to innovate across applications like autonomous driving, NLP, computer vision, and recommender systems
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