Senior Engineer - Quantum Error Correction Libraries

About the role

This role is 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 a strong affinity for advancing the state-of-the-art in applications of HPC and GPUs to the quantum computing ecosystem.

Responsibilities

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

Requirements

• 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, 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.

Skills

• 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.

Pay

The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

Benefits

You will also be eligible for equity and benefits.