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NVIDIA

Designs the chips and software that power AI

Developer Technology Engineer - HPC and AI

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • A Master of Science or PhD from a university in engineering, computer science, or a related discipline.
  • At least 2 years of work experience.
  • Strong knowledge of C/C++, software design, programming techniques, or AI algorithms and systems.
  • Experience with accelerated computing, ideally CUDA C/C++/Python.
  • Good communication and problem-solving skills.

Responsibilities

  • Research and develop techniques in deep learning, machine learning, high-performance computing, graphs, and data analytics, and perform in-depth analysis and optimization for performance on NVIDIA current- and next-generation accelerated computing platforms, including GPU, CPU, and DPU.
  • Work directly with key customers to understand the problems they are solving now and in the future, and optimize their workloads to maximize performance on NVIDIA platforms.
  • Collaborate with architecture, research, libraries, tools, and system software teams to design and develop next-generation architectures, software platforms, and programming models.

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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