Senior Quantum Computing Libraries Engineer

NVIDIA • Us, CA

1d

About The Position

NVIDIA's accelerated computing platform has revolutionized HPC and AI, and we have built the cuQuantum SDK to enable researchers and framework developers in the area of Quantum Computing. 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 software systems and curiosity about advancing the state-of-the-art in applications of HPC and GPUs to the quantum computing ecosystem. If you are passionate about designing and 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!

Requirements

• Excellent C++ and Python programming and software design skills, including functional and performance test design
• Experience programming for GPUs, in a multi-threading and multi-node MPI programming model, and expertise in hardware-aware optimization
• Experience with agentic coding tools
• Demonstrated ability developing scientific software used in quantum simulations (e.g., circuit simulators, compilers, hybrid-computing)
• PhD or MSc degree in Computer Science, Applied Math, Physics, or related science or engineering field (or equivalent experience)
• 8+ years of experience
• Strong collaboration, communication, and documentation skills

Nice To Haves

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

Responsibilities

• Researching and developing and optimizing GPU accelerated algorithms across multiple hardware generations
• Develop innovative HPC algorithms to scale quantum circuit simulations
• 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 guidance to other engineers
• Analyzing the performance of GPU, CPU, multi-GPU/multi-node implementations, finding opportunities for algorithmic or implementation-based improvements

Benefits

• competitive salaries
• generous benefits package
• equity

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 5,001-10,000 employees