Are you passionate about Data Centers applications? There has never been a more exciting time to join our team at NVIDIA. We develop a sophisticated automation platform that is used for building interactive scenarios and applications for multiple domains in data centers (Machine learning, Cloud, Storage and High Performance Computing). We strive for efficient system that will cover most of our customers scenarios while utilizing advanced technologies like micro-services, ELK, Mongo, python and Angular in new and exciting ways. We are looking for a Software Student that is passionate about automation programming to join a team that creates this platform while tackling complex problems efficiently and communicating regularly about challenges faced. Engineers that have a passion for networking automation and performance will be ideally suited for this role.

What you’ll be doing:

• Participate in an international team of software engineers working on products for testing NVIDIA products
• Develop algorithms and software that define the quality of the future technologies
• Take a key role in designing, implementing, and maintaining the production pipeline, tools, and workflows
• Work closely with networking architects, driver engineers and other NVIDIA software engineers
• Prepare and deliver internal presentations on technical topics

What we need to see:

• Student for B.Sc. in Computer Science, Electrical or Computer Engineering.
• Strongly self-motivated with a passion for automation programming that deliver quality assurance for our products
• Deep knowledge of Computer Science fundamentals such as object-oriented design, algorithms, data structures, problem solving and complexity analysis
• Comfort with Linux and Windows operating systems
• Excellent interpersonal and communication skills
• Creative, initiative and highly productive

Ways to stand out from the crowd:

• Experience with cloud and storage architectures
• Experience with data centers architectures
• Deep Python knowledge
• Familiarity with large scale networking protocols