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.
What You'll Be Doing:
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.
What We Need To See:
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.
Ways To Stand Out From The Crowd:
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.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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.Skills Required
- Ph.D. in Quantum Computing, Physics, Computer Science, or related field (or equivalent experience).
- 3+ years of experience.
- Strong proficiency in C++ and/or Python.
- Experience in GPU-accelerated and parallel programming models (e.g., CUDA).
- Solid background in numerical linear algebra (SVD, QR, low-rank approximations, truncation strategies).
- Experience with tensor network algorithms and quantum simulation techniques (MPS, PEPS, Tree Tensor Networks, State-Vector, Stabilizer formalism).
- Proven ownership of large-scale projects.
- Excellent communication and interpersonal skills.
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
