{"id":63545,"url":"https://alion.io/job/nvidia-quantum-applied-scientist-physics-modeling","title":"Quantum Applied Scientist, Physics Modeling","company":{"id":6,"name":"NVIDIA","domain":"nvidia.com","url":"https://alion.io/company/nvidia","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":86,"open_postings":410,"ghost_share":0.01,"stale_share":0.534,"repost_share":0.032,"time_to_fill_p50_days":33,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Quantum","role_family":"Quantum","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Redmond, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":60000,"max":150000,"currency":"USD","period":"year","gross":null,"usd_annual":150000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CUDA Toolkit","optional":false},{"name":"Data Augmentation","optional":false},{"name":"Digital Twin","optional":false},{"name":"Synthetic Data","optional":false}],"status":"live","first_seen_at":"2026-08-19T10:19:29Z","employer_posted_date":null,"last_verified_at":"2026-08-19T10:19:29Z","board_verified":false,"closed_at":null,"days_open":58,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":58},"description":"Job Description\nJob Title: Senior Quantum Applied Research Scientist, Physics Modeling. Location:\nRedmond, Washington, USA\nRemote, California, USA\nSanta Clara, California, USA\nResponsibilities:\nResearch and develop advanced physics-based models and scalable simulation frameworks.\nBuild physics-informed synthetic data generation pipelines using quantum device models, noise channels, and Hamiltonian characterization.\nDevelop detailed noise models that capture device physics, decoherence, and drift behavior.\nEnable accurate quantum performance prediction and parameter inference without requiring full experimental overhead.\nDevelop GPU-accelerated implementations so simulation and modeling pipelines can scale efficiently;\nTranslate qubit physics into performant modeling systems for both offline and real-time applications.\nCollaborate with Product, Engineering, Applied Research teams, and academic and industry partners.\nCommunicate research findings and contribute to rapid innovation, technical depth, and creative problem solving.\nQualifications:\nMaster's degree in Physics, Computer Science, Electrical Engineering, Applied Mathematics, or a related field. PhD is strongly preferred, or equivalent experience.\n8+ years of combined experience and high-impact work in quantum systems, physics-based modeling, simulation, or related research areas.\nHands-on expertise developing high-fidelity models of physical systems, including numerical simulation and model validation.\nStrong background in quantum device physics and quantum information science;\nExperience with noise models, error mechanisms, and fault-tolerant quantum systems across one or more qubit modalities.\nBroad understanding of quantum control, including pulse-level hardware interfaces and classical feedback through software abstractions.\nExperience with scalable computing or accelerated systems for simulation, numerical methods, or modeling workflows.\nExcellent communication and collaboration skills.\nPreferred:\nExperience developing simulation frameworks or digital twins of quantum systems.\nExperience deploying quantum simulation or digital-twin models in calibration or control workflows.\nUnderstanding of fidelity, latency, and scalability tradeoffs.\nDeep expertise in modeling, extracting, and validating noise processes.\nExperience with system identification, parameter estimation, and uncertainty quantification.\nExperience with physics-informed or generative approaches to synthetic data generation.\nExperience with noise simulation, Hamiltonian learning, or data augmentation for scientific workflows.\nExperience modeling multiple qubit modalities, including neutral atom qubits.\nProficiency with CUDA and NVIDIA GPU programming for quantum simulation, numerical modeling, or large-scale scientific workloads.\nExperience using simulation models to support calibration, control, and quantum system performance analysis.\nBenefits and Compensation:\nBase salary range: $192,000 to $304,750 USD.\nEligibility for equity and benefits.\nComprehensive benefits package for employees and their families;\nOpportunity to work on accelerated computing and quantum computing technologies.\nCollaboration with teams across Product, Engineering, Applied Research, and external academic and industry partners.","description_format":"text","description_chars":3281,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":true},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Processors, MCUs & AI Chips","Servers & Data Center Hardware","Computer Components","AI Chips & Accelerators"],"lifecycle":[{"event":"open","at":"2026-08-19T10:19:29Z"}],"visa":[{"country":"GB","licensed_sponsor":true,"evidence":"Licensed UK visa sponsor (Senior or Specialist Worker, Skilled Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Global Business Mobility: Senior or Specialist Worker; 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