Senior Quantum Software Engineer

NVIDIA•Santa Clara, CA

About The Position

We are seeking a Senior Software Engineer with strong expertise in C++, Python to design, develop, and optimize GPU-accelerated software for quantum computing. In this role, you will build and scale high-performance distributed libraries that implement tensor network–based algorithms at the core of large-scale quantum simulation and quantum–HPC workflows. 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 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 tackle 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).
3+ years of experience.
Strong proficiency with C++ and/or Python languages, with experience in GPU-accelerated and parallel programming models.
Solid Background in numerical linear algebra (SVD, QR, low-rank approximations, truncation strategies) and their use in tensor network algorithms.
Shown experience working on quantum simulation techniques, in particular any of Tensor Networks, MPS, PEPS, Tree Tensor Networks, State-Vector, Stabilizer formalism.
With proven ownership of large-scale projects.
Excellent communication and interpersonal skills, with the ability to collaborate effectively across multidisciplinary teams.

Nice To Haves

Proficiency and experience with quantum algorithms, hybrid quantum–classical workflows and quantum programming frameworks such as CUDA-Q, Qiskit, PennyLane, Cirq, QTip, Stim, or Braket is a strong plus.
Solid foundations and practical involvement in Quantum Error Correction, Noise-aware and Error-mitigated simulation, Quantum numerical methods.
Experience in analyzing, benchmarking, and optimizing software across CPU and GPU architectures, demonstrating skills in performance profiling and scalability analysis.

Responsibilities

Build, develop, and maintain HPC-quantum libraries and APIs in C++ and Python, with a strong focus on tensor network–based algorithms and representations.
Translate innovative quantum research concepts into production-ready, industry-grade software that integrates seamlessly into NVIDIA’s quantum–HPC ecosystem.
Take ownership of new functionality from concept to productization, including design, implementation, testing, debugging, performance tuning and documentation.
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.