Senior Quantum Computing Libraries Engineer

Details

NVIDIA's accelerated computing platform has revolutionized HPC and AI, and the company has built the cuQuantum SDK to enable researchers and framework developers in quantum computing. This role is part of an engineering team developing, scaling, and optimizing software to accelerate quantum computing and quantum system simulations. The ideal candidate has experience building software systems and an interest in advancing the applications of HPC and GPUs in the quantum computing ecosystem.

Responsibilities

• Research, develop, and optimize GPU-accelerated algorithms across multiple hardware generations.
• Develop innovative HPC algorithms to scale quantum circuit simulations.
• Work closely with NVIDIA Research, Developer Technology, and Product Management teams in quantum computing, HPC technologies, and machine learning.
• Interact with external partners and researchers to understand their use cases and requirements.
• Provide technical leadership and guidance to other engineers.
• Analyze the performance of GPU, CPU, multi-GPU, and multi-node implementations, identifying algorithmic and implementation-based improvement opportunities.

Requirements

• Excellent C++ and Python programming and software design skills, including functional and performance test design.
• Experience programming for GPUs using multithreading and multi-node MPI programming models.
• Expertise in hardware-aware optimization.
• Experience with agentic coding tools.
• Demonstrated ability to develop scientific software used in quantum simulations, such as circuit simulators, compilers, or hybrid-computing systems.
• PhD or MSc degree in Computer Science, Applied Mathematics, Physics, or a related science or engineering field, or equivalent experience.
• 8+ years of experience.
• Strong collaboration, communication, and documentation skills.

Preferred Qualifications

• Experience using quantum computing or deep learning frameworks such as Qiskit, Cirq, PennyLane, TNQVM, TensorFlow, or PyTorch.
• Proven experience with HPC technologies and communication algorithms.
• Expertise in numerical methods, Hamiltonian integrals, and quantum simulation techniques.
• Experience working in an agile software development environment within a globally distributed organization.

Benefits

• Competitive salary.
• Equity.
• Benefits package.
• NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer.

Applications for this job will be accepted at least until July 20, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.