Senior Quantum Computing Libraries Engineer

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!What you'll be doing:Researching and developing and optimizing GPU accelerated algorithms across multiple hardware generationsDevelop innovative HPC algorithms to scale quantum circuit simulationsWorking closely with NVIDIA Research, Developer Technology, and Product Management teams in the areas of quantum computing, HPC technologies, and machine learningInteracting with external partners and researchers to understand their use cases and requirementsProviding technical leadership and guidance to other engineersAnalyzing the performance of GPU, CPU, multi-GPU/multi-node implementations, finding opportunities for algorithmic or implementation-based improvementsWhat we need to see:Excellent C++ and Python programming and software design skills, including functional and performance test designExperience programming for GPUs, in a multi-threading and multi-node MPI programming model, and expertise in hardware-aware optimizationExperience with agentic coding toolsDemonstrated 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 experienceStrong collaboration, communication, and documentation skillsWays to stand out from the crowd: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 algorithmsExpertise in numerical methods, Hamiltonian integrals, quantum simulation techniquesExperience working in an agile software development environment within a globally distributed organizationWith competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing.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 July 20, 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.SummaryLocation: US, CA, Santa Clara; US, NY, New YorkType: Full time