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.What you'll be doing:Building a platform for delivering educational resources to professors and studentsIntegrating GPUs and QPUs into educational labsWorking with leading universities enable the adoption of CUDA-Q into academic curriculumCollaborating across teams to advance Quantum Computing education to prepare the next generation of students to enter a Quantum-enabled workforceWhat we need to see:Strong communication skills and ability to work across teamsExperience deploying educational content, jupyter notebooks, jupyterlab, or similar into production settingsProgramming experience in Python and/or C++Strong understanding of containerization and workflow frameworks, such as Docker, Docker Compose, and KubernetesA Bachelors degree or equivalent experience5+ years work experienceWays to stand out from the crowd:Experience with cloud orchestration frameworksExperience developing educational content at a university or post-graduate levelBackground with CUDA and CUDA-QBackground with AI-assisted or personalized learning platformsExperience developing AI Agents and/or RAG workflowsYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 160,000 USD - 253,000 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until July 29, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.