Senior Engineer - Quantum Error Correction Libraries

NVIDIA AI; Town of Washington (NY); On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a senior software engineer to develop and optimize GPU-accelerated quantum simulation software, focusing on QEC workloads at scale. You will work with NVIDIA Research, Developer Technology, and Product teams to translate research into robust, reusable primitives.

The role requires strong C++/Python, deep QEC knowledge, and 8+ years in research or software development. A PhD or MS is preferred, and equity/benefits accompany the position.

Qualifications

• Excellent modern C++ and Python programming skills including debugging, functional testing, and performance testing.
• Proven track record converting mathematical or research-level algorithms into robust, reusable software primitives.
• Expert understanding of QEC and stabilizer formalism, including Pauli-frame propagation and mid-circuit measurement.
• Strong understanding of noise models and representations of non-Pauli noise.
• Familiarity with Stim, Qiskit Aer, PennyLane, Cirq, cuQuantum SDK, CUDA-Q or similar frameworks.
• Strong communication and collaboration across research, enginering, and product teams.
• PhD or MS in CS, Applied Math, Physics, EE, or related field, or equivalent experience.
• 8+ years of relevant research or software-development experience.

Responsibilities

• Develop innovative algorithms to accelerate QEC workload simulations at scale.
• Research and optimize GPU-accelerated algorithms across hardware generations.
• Collaborate with NVIDIA Research, Developer Technology, and Product Management teams.
• Interact with external partners and researchers to understand use cases.
• Provide technical leadership and mentorship to other specialists.

Skills

C++

Python

debugging

performance testing

quantum error correction

Education

PhD or MS in CS/Math/Physics/EE

Tools

Stim

Qiskit Aer

PennyLane

Cirq

cuQuantum SDK

CUDA-Q

Job description

NVIDIA's accelerated computing platform has revolutionized HPC and AI, and we have built the cuQuantum SDK to enable quantum computing researchers and framework developers. This role will be part of an engineering team developing, scaling, and optimizing software to accelerate and scale quantum computing and quantum system simulations. Ideal candidates will have experience building simulation software for quantum error correction (QEC) and will have strong affinity for advancing the state-of-the-art in applications of HPC and GPUs to the quantum computing ecosystem. If you are passionate about developing high-performance software and want to help us build libraries to significantly accelerate research and development in this exciting field, we would love to hear from you!

What You Will Be Doing

• Developing innovative algorithms to accelerate simulation of QEC workloads at scale.
• Researching, developing and optimizing GPU-accelerated algorithms across multiple hardware generations
• Working closely with NVIDIA Research, Developer Technology, and Product Management teams in the areas of quantum computing, HPC technologies, and machine learning
• Interacting with external partners and researchers to understand their use cases and requirements
• Providing technical leadership and mentorship to other specialists

What We Need To See

• Excellent modern C++ and Python programming skills, including, debugging, functional testing, and performance testing.
• Proven track record to convert mathematical or research-level algorithms into robust, reusable, and well-documented software primitives.
• Expert understanding of QEC and stabilizer formalism, including binary symplectic representations, stabilizer and destabilizer tableaux, Pauli-frame propagation, mid-circuit measurement, and classical control.
• Strong understanding of noise models, including Pauli, correlated, and time-dependent noise, as well as exact and approximate representations of non-Pauli noise.
• Familiarity with the broader quantum software landscape, including Stim, Qiskit Aer, PennyLane, Cirq, cuQuantum SDK, CUDA-Q, or similar development frameworks.
• Strong communication skills and experience collaborating across research, engineering, and product teams.
• PhD or MS degree in Computer Science, Applied Mathematics, Physics, Electrical Engineering, or a related scientific or engineering field, or equivalent experience.
• 8+ years of relevant research or software-development experience.

Ways To Stand Out From The Crowd

• Proficiency in near-Clifford or stabilizer simulation techniques.
• Knowledge of QEC code varieties and procedures, such as surface codes, subsystem codes, color codes, quantum LDPC, lattice surgery, and logical-state preparation. Hands-on experience with QEC decoders.
• Experience developing performance-critical GPU software using CUDA or a comparable environment.
• Proficiency in horizontal scaling across multiple nodes or GPUs using NCCL, MPI, NVSHMEM, or equivalent high-performance communication stacks.
• Aptitude for using agentic or AI-supported development tools alongside steadfast dedication to validation, testing, and code review standards.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 28, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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.