Quantum Research Scientist Intern - Fall 2026
Nvidia · Remote (United States)
About this role
Nvidia is hiring a intern-level Applied Scientist in the machine learning function as a remote position. The posting calls out experience with Python, CUDA, LLMs, Machine Learning.
- Role
- Applied Scientist
- Function
- machine learning
- Level
- intern
- Track
- Individual contributor
- Employment
- Internship
- Location
- Remote (United States)
- Work mode
- Remote
- Posted
- May 19, 2026
More roles at Nvidia
Job description
from Nvidia careersToday, NVIDIA is 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, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world.
We are looking for a Quantum Research Scientist Intern to develop automated high-performance quantum error correcting code discovery pipelines. NVIDIA is deeply invested in the future of quantum computing, building the accelerated platforms (cuQuantum, CUDA-Q, and Ising) that researchers around the world rely on to design, simulate, and scale quantum systems. On this team, you will help develop techniques at the intersection of quantum code design and AI-driven automation, prototyping large scale protocols to computationally discover and ultimately design high-performance quantum error correcting codes for realistic quantum systems.
What you'll be doing:
Developing automated quantum error correcting code discovery protocols and pipelines.
Using AI and automation to identify novel quantum error correcting codes that achieve high-performance across encoding rate, error suppression, and system realizability.
This is an excerpt. Read the full job description on Nvidia careers →