NVIDIA
Technology
QuantumErrorCorrectionResearchScientistIntern-Fall2026
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“Quantum Error Correction Research Scientist Intern - Fall 2026 at NVIDIA. Skills: Quantum Error Correction, Machine Learning, Python, Automation. Develop automated quantum error correcting code discovery protocols. Develop automated quantum error correcting pipelines”
What You'll Achieve.
Achieve high-performance across encoding rate; Achieve high-performance across error suppression; Achieve high-performance across system realizability; Improve decoding accuracy; Improve decoding scalability; Improve decoding adaptability
Industry & Context.
Problem-solving
What They're Looking For.
Must Have
Master's, or PhD in Physics, Electrical/Computer Engineering, Computer Science, or a related field, Background in quantum computing fundamentals, fundamentals of quantum error correction, stabilizer codes, coding theory, decoders, Solid proficiency in Python or similar scientific programming language experience, Good teamwork, communication skills, documentation skills
Nice to Have
Hands-on experience with tensor network, state vector, 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, non-Pauli noise mechanisms, methods for incorporating this information into QEC code design and decoder design, Experience with magic state preparation, distillation, factory design, decoding and performance analysis of magic state factories, GPU-accelerated simulation experience with cuQuantum, CUDA-Q, related NVIDIA quantum software
What You'll Do.
Develop automated quantum error correcting code discovery protocols
Develop automated quantum error correcting pipelines
Use AI and automation to identify novel quantum error correcting codes
Integrate classical machine learning methods
Build machine learning models
Develop machine learning-based decoders
Build methods to identify and evaluate error correcting codes
Analyze and evaluate performance of fault-tolerant circuits
How You'll Work.
Team & Collaboration
Work with product team
Communication Scope
Communication skills
Full Job Description
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 Error Correction Research Scientist Intern to develop automated, high-performance quantum error correction research pipelines spanning both code discovery and decoder design. 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 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. **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. * Integrating various classical machine learning methods for identifying high-performance code constructions, building bespoke machine learning models tailored to high-performance code design, and developing machine learning-based decoders for topological and/or QLDPC codes, with an emphasis on improving decoding accuracy, scalability, and adaptability to quantum logic settings. * Building out methods to identify and evaluate high-performance error correcting codes and decoders that directly incorpo
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