About the position
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re 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, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA is building the foremost platform for Quantum Computing education to enable students to enter the workforce experienced in Quantum Computing, AI, and HPC! Students will learn how Accelerated Quantum Supercomputers will change the computing landscape through hands-on learning with GPUs and QPUs. In this role, you will help to build the future of Quantum Computing curriculum by engineering a platform that enables professors in multiple fields to integrate CUDA-Q into their existing courses.
Responsibilities
- Building a platform for delivering educational resources to professors and students
- Integrating GPUs and QPUs into educational labs
- Working with leading universities to enable the adoption of CUDA-Q into academic curriculum
- Collaborating across teams to advance Quantum Computing education to prepare the next generation of students to enter a Quantum-enabled workforce
Requirements
- Strong communication skills and ability to work across teams
- Experience deploying educational content, jupyter notebooks, jupyterlab, or similar into production settings
- Programming experience in Python and/or C++
- Strong understanding of containerization and workflow frameworks, such as Docker, Docker Compose, and Kubernetes
- A Bachelors degree or equivalent experience
- 5+ years work experience
Nice-to-haves
- Experience with cloud orchestration frameworks
- Experience developing educational content at a university or post-graduate level
- Background with CUDA and CUDA-Q
- Background with AI-assisted or personalized learning platforms
- Experience developing AI Agents and/or RAG workflows
Benefits
- Equity and benefits
