NVIDIA Corporation

Senior Quantum Applied Research Scientist, Physics Modeling

NVIDIA Corporation$192K — $304K *
US-AnywhereRemote in Santa Clara, CA
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Masters Degree in Physics, Computer Science, Electrical Engineering, Applied Mathematics, or a related field (Ph.D. preferred).
  • 8+ years of experience in quantum systems, physics-based modeling, or related research areas.
  • Expertise in developing high-fidelity models of physical systems with model validation experience.
  • Strong understanding of quantum device physics, including noise models and error mechanisms.
  • Knowledge of quantum control, pulse-level hardware interfaces, and classical feedback systems.
  • Experience with scalable computing or accelerated systems for simulation workflows.
  • Excellent communication and collaboration skills.

Responsibilities

  • Research and develop advanced physics-based models and frameworks.
  • Build physics-informed synthetic data generation pipelines for quantum devices.
  • Create detailed noise models of quantum hardware for accurate predictions.
  • Implement GPU-accelerated solutions for simulation scalability.
  • Communicate findings and collaborate with partners to enhance innovation.

Benefits

  • Comprehensive benefits package including health, wellness, and more.
  • Equity options available for employees.
  • Hybrid work opportunities to balance remote and office work.
Full Job Description
Senior Quantum Applied Research Scientist, Physics Modeling

What you'll be doing:
  • Research and develop advanced physics-based models and scalable simulation frameworks.
  • Build physics-informed synthetic data generation pipelines that leverage quantum device models, noise channels, and Hamiltonian characterization to produce high-quality datasets.
  • Develop detailed noise models of quantum hardware that capture device physics, decoherence, and drift behavior, enabling accurate performance prediction and parameter inference without full experimental overhead.
  • Develop GPU-accelerated implementations to ensure the full simulation and modeling pipeline scales.
  • Communicate research findings and collaborate with academic and industry partners to advance the field, while championing rapid innovation, technical depth, and creative problem solving.


What we need to see:
  • Masters Degree in Physics, Computer Science, Electrical Engineering, Applied Mathematics, or a related field (Ph.D. strongly preferred); or equivalent experience.
  • 8+ years of combined experience and high impact in quantum systems, physics-based modeling, simulation, or related research areas.
  • Hands-on expertise in developing high-fidelity models of physical systems, including numerical simulation and model validation.
  • Strong background in quantum device physics and information science, including noise models, error mechanisms, and fault-tolerant quantum systems across one or more qubit modalities.
  • Broad understanding of quantum control, such as pulse-level hardware interfaces and classical feedback through software abstractions.
  • Experience with scalable computing or accelerated systems for simulation, numerical methods, or modeling workflows.
  • Excellent communication and collaboration skills.


Ways to stand out from the crowd:
  • Hands-on experience developing simulation frameworks or digital twins of quantum systems and deploying them in calibration or control workflows, with awareness of fidelity, latency, and scalability tradeoffs.
  • Deep expertise in modeling, extracting, and validating noise processes, including system identification, parameter estimation, and uncertainty quantification.
  • Experience with physics-informed or generative approaches to synthetic data generation, including noise simulation, Hamiltonian learning, or data augmentation for scientific workflows.
  • Experience with modeling of more than one qubit modality, including neutral atom qubits.
  • Proficiency with CUDA and NVIDIA GPU programming for accelerating quantum simulation, numerical modeling, or large-scale scientific workloads.


Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 192,000 USD - 304,750 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 12, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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