Quantum Research Scientist Intern - Fall 2026

NVIDIA•Us, CA

About The Position

Today, 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 work at the intersection of design, calibration, and quantum error correction. NVIDIA is deeply invested in the future of quantum computing, building the accelerated platforms (cuQuantum, CUDA-Q, and NVIDIA Ising) that researchers around the world rely on to design, simulate, and scale quantum systems. On this team, you will help build techniques at the intersection of hardware design, control, and error correction. You will prototype large-scale pipelines to computationally tackle fundamental problems in quantum hardware, ultimately designing high-performance tools for day-to-day design, measurement, and optimization workflows.

Requirements

Pursuing a Master's or PhD in Physics, Electrical/Computer Engineering, Computer Science, or related field.
Proficiency in Python and a strong background in quantum computing fundamentals, including a deep understanding of at least one qubit modality.
Familiarity with, or the ability to quickly ramp up on, standard design software.
Exposure to electromagnetic simulation tools such as Ansys HFSS, Palace, or comparable solvers.
Strong teamwork, communication, and documentation skills.

Nice To Haves

Hands-on experience with the design, simulation, calibration, and operation of quantum hardware systems (including superconducting qubits, Ion Traps, Neutral Atoms, or other leading physical modalities).
Experience building agentic or LLM-driven workflows for scientific automation and tool orchestration.
GPU-accelerated simulation experience with cuQuantum, CUDA-Q, or related NVIDIA quantum software.
Familiarity with classical machine learning methods.
A track record of publications in premier quantum computing or applied physics venues (e.g., PRX Quantum, Quantum, npj Quantum Information).

Responsibilities

Develop agentic AI systems for quantum computing applications.
Prototype a high-performance agentic pipeline for quantum EDA (Electronic Design Automation) of superconducting qubits.
Collect, organize, and curate data to support digital twin development and NVIDIA Ising model workflows.
Accelerate and deploy quantum calibration primitives.
Combine electromagnetic and quantum simulations to extract relevant parameters and construct accurate Hamiltonians of the devices.