Nvidia Research Scientist Programming Systems - New College Grad 

United States, California 

806472601

What you’ll be doing:

• Develop innovative parallel computing technologies that equip programmers with the compilers, languages, runtime systems, tools, and algorithms needed to solve challenges with modern accelerated systems.

• Collaborate with other researchers and engineers to extend the state of the art in parallel computing, machine learning, data analytics, and other technology areas surrounding NVIDIA's business. Deliver your innovations in high-quality software systems, publications, and patents.

• Engage with the research community through collaborations, publications, and presentations that produce new technologies and promote education in accelerated computing.

What we need to see:

• Completing or recently completed a Doctoral degree (Ph.D.) or equivalent experience in a computational field such as computer science, computer engineering, or scientific computing.

• Creativity in developing innovative solutions to the problems faced by parallel programmers and the skill to implement them in software.

• Expertise in parallel programming and algorithmic techniques.

• Strong programming ability in one or more of the following languages: C, C++, Rust and Python.

• Track record of research excellence and publications that demonstrate your body of work.

• Relevant research and software development experience.

Ways to stand out from the crowd:

• Expertise in applying programming system insights and techniques to problems in machine learning, data science, and distributed computing.

• Ability to implement ideas in the CUDA programming model.

• Experience with applying AI, such as large language models, to create new ways of solving the problems of software engineering.

• Prior success in building software systems used by other developers to solve their own problems.