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NVIDIA

Designs the chips and software that power AI

Developer Technology Engineer - AI

Developer Relations & AdvocacyConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • A Bachelor of Science, Master of Science, or PhD degree from a leading university in an engineering or computer science-related field, or equivalent experience.
  • At least 3 years of experience.
  • Programming proficiency in C/C++ and/or Python, with a deep understanding of software design, programming techniques, and algorithms.
  • Strong mathematical fundamentals, including linear algebra and numerical methods.
  • Experience with parallel programming, ideally CUDA C/C++.
  • Strong communication and organization skills, a logical approach to problem solving, and good time management and task prioritization skills.

Responsibilities

  • Study and develop cutting-edge techniques in CUDA programming, profiling, and optimization for applications in deep learning, graphics, machine learning, and data analytics; perform in-depth analysis and optimization for performance on current- and next-generation GPU architectures.
  • Work directly with key customers to understand the current and future problems they are solving and provide AI solutions using GPUs.
  • Collaborate with architecture, research, libraries, tools, and system software teams to influence the design of next-generation architectures, software platforms, and programming models by investigating impacts on application performance and developer efficiency.
  • Travel from time to time for conferences and on-site visits with developers.

Desired Qualifications

  • Domain expertise in LLM, CTR, CV, or HPC is helpful but not required.

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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