NVIDIA Corporation

Senior Quantum Applied Research Scientist, Calibration and Decoding

NVIDIA Corporation • $192K — $304K *
Redmond, WA 98052In-Person
Enterprise Technology
8 - 10 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Masters degree in Physics, Computer Science, Electrical Engineering, Applied Mathematics, or a related field (Ph.D. preferred); or equivalent experience.
  • 8+ years of impactful experience in quantum systems and AI/ML research.
  • Hands-on expertise in machine learning/deep learning for scientific applications, including model architecture design and evaluation.
  • Strong background in quantum device physics and error mechanisms across qubit modalities.
  • Broad understanding of quantum control and classical feedback systems.
  • Excellent communication and collaboration skills.

Responsibilities

  • Research and develop open AI models for quantum system calibration.
  • Build physics-informed synthetic data generation pipelines for model development.
  • Develop surrogate models capturing quantum device physics for performance prediction.
  • Architect real-time AI systems for calibration state and decoding requirements.
  • Apply reinforcement learning methods to optimize calibration policy.
  • Develop GPU-accelerated implementations for scaling the pipeline.
  • Communicate research findings and collaborate with partners to advance the field.

Benefits

  • Comprehensive benefits package for employees and families.
  • Accessible resources for employee assistance and wellness programs.
  • Healthy work-life balance with hybrid work options.
  • Career development opportunities and continuous learning incentives.
Full Job Description
Senior Quantum Applied Research Scientist, Calibration and Decoding

What you'll be doing:
  • Research and develop open AI models for quantum system calibration to advance the state of the art and empower the quantum community to build on shared foundations.
  • Build physics-informed synthetic data generation pipelines that leverage quantum device models, noise channels, and Hamiltonian characterization to produce high-quality training data for upstream calibration and decoding model development.
  • Develop surrogate models of quantum hardware that capture device physics and drift behavior, enabling rapid performance prediction and parameter inference without full experimental overhead.
  • Architect performant real-time AI systems that jointly account for calibration state and decoding requirements, co-designing model latency, throughput, and update cadence to meet the demands of fault-tolerant feedback loops.
  • Apply reinforcement learning and online learning methods to calibration policy optimization, enabling models that improve continuously from hardware feedback and generalize across device families and modalities.
  • Develop GPU-accelerated implementations to ensure the full 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 and AI/ML research.
  • Hands-on expertise in machine learning and deep learning for science or physics, including model architecture design, training at scale, fine-tuning, and evaluation.
  • 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.
  • Excellent communication and collaboration skills.


Ways to stand out from the crowd:
  • Hands-on experience developing learned calibration or decoding models and deploying them within real-time quantum control feedback loops, with direct awareness of latency and throughput constraints.
  • Deep expertise in reinforcement learning-including policy optimization, reward shaping, and sim-to-real transfer-applied to physical systems or closed-loop control problems.
  • Experience with physics-informed or generative approaches to synthetic data generation, including noise simulation, Hamiltonian learning, or data augmentation for scientific AI models.
  • Experience with large-scale model training and fine-tuning-including parameter-efficient methods (LoRA, QLoRA, adapters) and domain adaptation.
  • Proficiency with CUDA and NVIDIA GPU programming for accelerating quantum simulation, AI model training, or real-time inference workloads at scale.


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
Manufacturing & Automotive
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ
NVDA
* Ladders Estimates

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