Quantum Research Scientist Intern - Fall 2026

Details

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.

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 build internal IP 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.

Responsibilities

• Develop automated quantum error correcting code discovery protocols and pipelines.
• Use AI and automation to identify novel quantum error correcting codes that achieve high-performance across encoding rate, error suppression, and system realizability.
• Integrate various classical machine learning methods for identifying high-performance code constructions, and build bespoke machine learning models tailored to high-performance code design.
• Build methods to identify high-performance error correcting codes that directly incorporate hardware constraints of various types of physical systems.
• Analyze and evaluate the performance of fault-tolerant circuits implementing quantum error correcting logic and memory using analysis and simulation tools.

Requirements

• Pursuing a Master's or PhD in Physics, Electrical/Computer Engineering, Computer Science, or a related field.
• Proficiency in Python.
• Background in quantum computing fundamentals, especially superconducting qubits and circuit QED.
• Familiarity with, or ability to quickly ramp up on, standard quantum superconducting qubit chip design software.
• Exposure to electromagnetic simulation tools such as Ansys HFSS, Palace, or comparable solvers.
• Good teamwork, communication, and documentation skills.

Ways to stand out from the crowd (Preferred qualifications)

• Hands-on experience with tensor network, state vector, or quantum error correction methods for quantum circuit simulation.
• 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.
• Publications in quantum computing or applied physics venues (e.g., PRX Quantum, Quantum, npj Quantum Information).

Compensation & Benefits

• Internship hourly rate: 20 USD - 71 USD (hourly rates vary by position, location, year in school, degree, and experience).
• Eligible for NVIDIA intern benefits: https://www.nvidia.com/en-us/benefits/interns/

Applications for this job will be accepted at least until May 23, 2026.

This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We do not discriminate 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.