Key skills
PythonC++ContainerizationEducational content deploymentCloud orchestration frameworksCUDAAI-assisted learningWorkflow frameworkscommunication skillsCollaborationCAIJupyterKubernetesDockerCommunication
About this role
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. 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 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
- 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