Offer summary

Qualifications:

Bachelor's degree or equivalent experience., 5+ years of work experience in relevant fields., Programming skills in Python and/or C++., Strong understanding of containerization and workflow frameworks like Docker and Kubernetes..

Key responsibilities:

Build a platform for delivering educational resources to academia.

Integrate GPUs and QPUs into educational labs and curricula.

Collaborate with universities to incorporate CUDA-Q into courses.

Work across teams to advance Quantum Computing education.

Job description

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 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

The base salary range is 160,000 USD - 322,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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.

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