Quantum Error Correction 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 Error Correction Research Scientist Intern to develop automated, high-performance quantum error correction research pipelines spanning both code discovery and decoder design. NVIDIA builds accelerated platforms (cuQuantum, CUDA-Q, and Ising) that researchers rely on to design, simulate, and scale quantum systems. On this team you will help push frontier research at the intersection of quantum code design, neural decoders, and AI-driven automation, prototyping large-scale methods to computationally discover, evaluate, and improve quantum error correction schemes 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 classical machine learning methods for identifying high-performance code constructions, build bespoke machine learning models tailored to high-performance code design, and develop machine learning-based decoders for topological and/or QLDPC codes, with emphasis on decoding accuracy, scalability, and adaptability to quantum logic settings.
• Build methods to identify and evaluate high-performance error correcting codes and decoders that directly incorporate hardware constraints of various physical systems.
• Analyze and evaluate 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.
• Background in quantum computing fundamentals, especially quantum error correction, stabilizer codes, coding theory, and decoders.
• Solid proficiency in Python or similar scientific programming language.
• Good teamwork, communication, and documentation skills.

Ways to Stand Out

• Hands-on experience with tensor network, state vector, or quantum error correction methods for quantum circuit simulation.
• Experience with neural network-based quantum error correction decoders (topological or QLDPC codes).
• Familiarity with qubit loss, leakage, and other non-Pauli noise mechanisms and methods for incorporating this information into QEC code and decoder design.
• Experience with magic state preparation, distillation, or factory design, including decoding and performance analysis of magic state factories.
• GPU-accelerated simulation experience with cuQuantum, CUDA-Q, or related NVIDIA quantum software.

Compensation & Benefits

• Internship hourly rate: 20 USD - 71 USD per hour.
• Eligible for NVIDIA intern benefits (link provided in original posting).

Additional Information

• Applications accepted at least until May 25, 2026.
• This posting is for an existing vacancy.
• NVIDIA uses AI tools in its recruiting processes.
• NVIDIA is an equal opportunity employer and is committed to fostering a diverse work environment.