Salary
$60k – $150k per year
Location
In office (Redmond)
Employment
Full-Time
First seen by Alion on Aug 19, 2026. NVIDIA scores A on the Alion truth index.
Overview
Company
Impact
Profile match
NVIDIA is an American technology company founded in 1993 that invented the graphics processing unit and has become the dominant supplier of accelerated computing platforms for artificial intelligence. Its portfolio spans data centre GPUs and systems built on the Hopper and Blackwell architectures, GeForce consumer graphics, automotive and robotics platforms, high-speed networking acquired with Mellanox, and the CUDA software stack that binds the ecosystem together. Headquartered in Santa Clara, California, the company sells to cloud providers, enterprises, research institutions and gamers worldwide and is one of the most valuable listed businesses on the Nasdaq.
Backed by Insight Partners, Sequoia Capital, Greylock
Job Description
Job Title: Senior Quantum Applied Research Scientist, Physics Modeling. Location:
- Redmond, Washington, USA
- Remote, California, USA
- Santa Clara, California, USA
Responsibilities:
- Research and develop advanced physics-based models and scalable simulation frameworks.
- Build physics-informed synthetic data generation pipelines using quantum device models, noise channels, and Hamiltonian characterization.
- Develop detailed noise models that capture device physics, decoherence, and drift behavior.
- Enable accurate quantum performance prediction and parameter inference without requiring full experimental overhead.
- Develop GPU-accelerated implementations so simulation and modeling pipelines can scale efficiently;
- Translate qubit physics into performant modeling systems for both offline and real-time applications.
- Collaborate with Product, Engineering, Applied Research teams, and academic and industry partners.
- Communicate research findings and contribute to rapid innovation, technical depth, and creative problem solving.
Qualifications:
- Master's degree in Physics, Computer Science, Electrical Engineering, Applied Mathematics, or a related field. PhD is strongly preferred, or equivalent experience.
- 8+ years of combined experience and high-impact work in quantum systems, physics-based modeling, simulation, or related research areas.
- Hands-on expertise developing high-fidelity models of physical systems, including numerical simulation and model validation.
- Strong background in quantum device physics and quantum information science;
- Experience with noise models, error mechanisms, and fault-tolerant quantum systems across one or more qubit modalities.
- Broad understanding of quantum control, including 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.
Preferred:
- Experience developing simulation frameworks or digital twins of quantum systems.
- Experience deploying quantum simulation or digital-twin models in calibration or control workflows.
- Understanding of fidelity, latency, and scalability tradeoffs.
- Deep expertise in modeling, extracting, and validating noise processes.
- Experience with system identification, parameter estimation, and uncertainty quantification.
- Experience with physics-informed or generative approaches to synthetic data generation.
- Experience with noise simulation, Hamiltonian learning, or data augmentation for scientific workflows.
- Experience modeling multiple qubit modalities, including neutral atom qubits.
- Proficiency with CUDA and NVIDIA GPU programming for quantum simulation, numerical modeling, or large-scale scientific workloads.
- Experience using simulation models to support calibration, control, and quantum system performance analysis.
Benefits and Compensation:
- Base salary range: $192,000 to $304,750 USD.
- Eligibility for equity and benefits.
- Comprehensive benefits package for employees and their families;
- Opportunity to work on accelerated computing and quantum computing technologies.
- Collaboration with teams across Product, Engineering, Applied Research, and external academic and industry partners.
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