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NVIDIA

Designs the chips and software that power AI

Deep Learning Performance Software Engineer

Systems Software EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • A Master's or Ph.D. degree, or equivalent experience, in a relevant discipline such as Computer Engineering, Computer Science and Engineering, Computer Science, or Artificial Intelligence.
  • Excellent C/C++ programming and software design skills.
  • Experience with XLA, TVM, MLIR, LLVM, deep learning models, and algorithms.
  • At least 3 years of relevant work experience.
  • Ability to work in a fast-paced, customer-oriented team.
  • Excellent communication skills.

Responsibilities

  • Develop compilers and domain-specific languages for deep learning workloads.
  • Design and implement highly optimized deep learning kernels.
  • Continuously improve compiler architecture for current and next-generation chips.
  • Perform performance analysis on emerging AI workloads and integrate with AI frameworks.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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