Senior Quantum Software Engineer

Nvidia•Santa Clara, CA

About The Position

We are seeking an expert Senior Software Engineer to design, develop, and optimize accelerated and distributed C++ and Python libraries for quantum computing. In this role, you will build high-performance, GPU-accelerated implementations of fundamental quantum algorithms that power large-scale scientific computing, data analytics, deep learning, and quantum applications. You will play a key role in evolving NVIDIA's quantum-HPC platforms, pushing the boundaries of performance and scalability, and driving widespread adoption of NVIDIA's accelerated and quantum computing solutions. NVIDIA's cuQuantum group is a dynamic, high-impact team with strong visibility across the global quantum and HPC communities. We are building the foundations for scalable scientific computing and emerging quantum-HPC workflows. We solve some of the most exciting challenges by combining deep domain expertise in quantum technologies with leadership in GPU-accelerated software. Our team works closely across Product, Engineering, and Research to deliver efficient, reliable software deployed across supercomputing centers and cloud environments worldwide.

Requirements

Ph .D. in Quantum Computing, Physics, Computer Science, or a related field (or equivalent experience).
5+ years of industry or equivalent academic experience working on quantum circuit simulation techniques, with proven ownership of large-scale projects.
Strong proficiency with C++ and/or Python languages, with experience in GPU-accelerated and parallel programming models such as CUDA, and familiarity with MPI, or similar technologies.
Excellent communication and interpersonal skills, with the ability to collaborate effectively across multidisciplinary teams.

Nice To Haves

Proficiency with quantum programming frameworks such as CUDA-Q, Qiskit, PennyLane, Cirq, QTip, Stim, or Braket is a strong plus.
Experience integrating Python libraries with numerical ecosystems such as NumPy, and accelerated variants (e.g., CuPy, JAX, cuNumeric).
Experience in analyzing, benchmarking, and optimizing software across CPU and GPU architectures, demonstrating skills in performance profiling and scalability analysis.

Responsibilities

Design, develop, and maintain high-performance libraries and APIs in C++ and Python for accelerated and distributed quantum-HPC computing.
Lead the productization of new functionality end to end, including design, implementation, debugging, testing, performance optimization, and documentation.
Prototype and evaluate innovative algorithms and proof-of-concept implementations, transitioning successful ideas into production-quality software.
Drive opportunities to improve library quality, performance, scalability, and maintainability through thoughtful re-architecture and modern software engineering practices.
Collaborate closely with product management, architects, and internal and external partners to understand user workflows, define requirements, and contribute to technical roadmaps.
Communicate technical designs, results, and guidelines effectively across teams, and represent the work through internal reviews, documentation, or technical forums as appropriate.