NVIDIA

1 month ago

Senior Quantum Applied Research Scientist, Calibration and Decoding

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

We are seeking a senior scientist at the intersection of quantum device physics, calibration, and machine learning to design real-time, physics-informed AI models for fault-tolerant quantum hardware. You will develop surrogate models and data synthesis pipelines, optimize calibration-decoding pipelines, and scale GPU-accelerated workflows while collaborating across Product, Engineering, and Applied Research to push accelerated quantum computing forward.

Location: Redmond, Santa Clara

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•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.

Pay and Benefits

Salary: USD 192,000 - 304,750 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•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.

Experience:8+ yearsQuantum computingMachine learningPhysics

Education:Master's in Physics

Skills:CommunicationCollaborationProblem-solving

Tech Stack:CUDAPythonGPUMachine learningReinforcement learning

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

1 month ago

Senior Quantum Applied Research Scientist, Calibration and Decoding

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Redmond, Santa Clara

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•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.

Pay and Benefits

Salary: USD 192,000 - 304,750 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•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.

Experience:8+ yearsQuantum computingMachine learningPhysics

Education:Master's in Physics

Skills:CommunicationCollaborationProblem-solving

Tech Stack:CUDAPythonGPUMachine learningReinforcement learning

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor