Linux Testing Engineer

☑ Основной блок:

Опыт работы: 3–6 лет.

Тип занятости: полная занятость.

График работы: полный день.

Зарплата: по результату собеседования.

Место работы (точный адрес): Россия, Москва, Марьина Роща, Савеловская, Двинцев, 12.

☑ Актуальность объявления:

Это объявление № 6729579 добавлено в базу данных: Воскресенье, 19 января 2025 года.

Дата его обновления на этом интернет-ресурсе: Воскресенье, 16 марта 2025 года.

☑ Репутация компании "NVIDIA":

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☑ Подробности о вакантном месте:

NVIDIA is looking for a Deep Learning Performance Engineer to support our growing investments in Deep Learning. You will be part of global HPC/DL Performance Testing team and will work to improve our team’s ability to expertly and accurately test a growing number of DL applications and perform debugging of both tools and applications. We also work to develop new benchmarks from provided DL software 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 DL software, 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:

You will develop software to automate the testing of DL-focused applications.
You will configure computer systems with appropriate hardware and software in order to carry out the performance testing.
You will run performance tests using an automated testing environment and analyze the results.
After analyzing the data, you will produce reports to be shared out with customers.
You will assist with developing automation resources to build upon testing processes, with a focus on improving the testing flow for DL applications.
You will learn to use the latest applications in the DL field with the latest hardware.

What we need to see:

Excellent programming and debugging skills in a scripting language such as Perl, Python or Unix shell
Expertise in Perl programming is a plus
Advanced knowledge using Linux based systems (CentOS and Ubuntu strongly preferred)
Proficient in compiling software from source code, including debugging errors encountered
Excellent English verbal and written communication skills to best collaborate with coworkers
Excellent data analysis skills and the ability to summarize findings in a written report

Ways to stand out from the crowd:

You have experience using GPU-enabled deep learning frameworks (Caffe, MXNet, PyTorch, TensorFlow).
You have GPU programming experience in CUDA or OpenCL.
You are familiar with software compilers such as Intel Composer and PGI.
You are proficient in C, C++ or Fortran.
You have previously worked with a computer cluster.

☑ О компании:

Логотип (эмблема, торговая марка, бренд) компании:

Сфера деятельности компании: Информационные технологии, системная интеграция, интернет; .

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