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What you'll be doing:
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
What we need to see:
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
Ways to stand out from the crowd:
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
You will also be eligible for equity and .
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