Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world.
We are now looking for a Research Scientist New Grad in Programming Systems! NVIDIA is seeking an outstanding researcher to join our Programming Systems Research Team. If you would like to help build the future of computing by equipping programmers with the tools they need to use parallel computing systems, this team will be a great fit for you! We seek to invent innovative parallel algorithm techniques, expressive parallel programming models/languages, powerful code analysis & generation tools, and scalable runtime environments that can help accelerate a broad range of real-world applications. After developing novel solutions and building prototype software that demonstrates their promise, you will work with product teams to help integrate your ideas into NVIDIA's accelerated computing platform.
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.
