Infrastructure Automation Engineer

от 300 000 руб. на руки
Опыт работы: От 1 года до 3 лет
График работы: Полный день
Занятость: Полная занятость
Компания: NVIDIA

NVIDIA is looking for a Software Engineer to support our growing investments in performance testing of various company products. You will be part of global performance lab team and will work to improve our team’s ability to expertly and accurately test a growing number of applications and hardware platforms as well as perform debugging of both tools and applications. We also work to develop new benchmarks from provided applications and libraries while we coordinate with multi-functional teams to develop automation tools based on their needs.

With your help, our team will reduce request completion time, perform more challenging programming tasks, increase testing coverage of applications and hardware platforms, and better serve our customers through new and improved testing processes. We work in a dynamic environment where multiple projects will be active at once and priorities may shift frequently.

What you’ll be doing:
  • Develop software to automate the testing of applications and hardware platforms

  • Work with other engineers to identify processes to be improved with automation

  • You will be using modern technologies with the latest hardware

What we need to see:
  • Solid understanding of software design principles

  • Programming and debugging skills with various languages (Python, Rust, and Golang strongly preferred)

  • Experience with Windows programming

  • Advanced knowledge of Linux based systems (CentOS and Ubuntu strongly preferred)

  • English verbal and written communication skills to best collaborate with coworkers

  • Excellent analytical skills to identify areas to improve

Ways to stand out from the crowd:
  • Excellent skills in Python, Rust, Golang, or C++

  • Good knowledge of modern DevOps processes and technologies

  • Experience in various virtualization and containerization technologies

  • Programming experience with Deep Learning frameworks, CUDA, MPI or HPC clusters

Хочу откликнуться
<
>