Напиши текст вакансии для должности "Infrastructure Automation Engineer". Название компании: "NVIDIA". Расположение: Москва. График работы: Полный день. Опыт работы: От 1 года до 3 лет. Ключевые навыки: 'Python', 'Linux'

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