{"schemaVersion":"jobsearcher.job.v1","id":"7db4a1da3b5934795eb413b0","url":"https://jobsearcher.com/jobs/7db4a1da3b5934795eb413b0","canonicalUrl":"https://jobsearcher.com/jobs/7db4a1da3b5934795eb413b0","title":"Modeling & Simulation Eng, Amazon Leo","description":"Overview\nIn this role you will develop and validate physics-based and data-driven models of the Leo satellite power system, building scalable simulation frameworks to predict battery SOC, solar power, thermal-electrical coupling, and degradation over the satellite lifecycle. You’ll feed architecture trade studies, design decisions, and on-orbit validation with quantified model outputs. You’ll work closely with cross-functional teams to enable operational planning tools like the Power Digital Twin. This is a fast-paced, collaborative role with a strong opportunity to influence satellite power planning and reliability.\n\nCompensation / Benefitshealth insurance (medical, dental, vision)401(k) matchingpaid time offparental leaveRSUs and sign-on paymentsflexible work arrangements and remote options\nResponsibilitiesDevelop, validate, and maintain physics-based and empirical models of the power systemBuild simulation frameworks to predict SOC, solar power, thermal-electrical coupling, and degradationOwn orbit-level power simulations using mission plans, orbital parameters, and hardware configurationCorrelate model predictions with on-orbit telemetry and close gaps to improve fidelityDevelop degradation models using lab data, manufacturer characterization, and flight dataSupport architecture trades, design decisions, and operational planning toolsCollaborate with power systems engineers, mission operations, and software teams to integrate models into services like the Power Digital Twin and hardware-in-the-loop testbedsRun parametric studies and sensitivity analyses for next-generation configurations\nKey requirementsBachelor's degree in a STEM discipline3+ years of experience developing physics-based or data-driven models for electrical, power, thermal, or electromechanical systems3+ years of proficiency in Python or Matlab for numerical simulation, data analysis, and model developmentExperience with model validation against experimental or operational dataExperience modeling battery systems (basic familiarity as preferred)Experience modeling solar array/photovoltaic performance (basic familiarity as preferred)Familiarity with orbital mechanics and how orbital parameters affect spacecraft power budgets (basic familiarity as preferred)Experience building simulation pipelines that run at scale (batch processing, parameter sweeps, Monte Carlo)Familiarity with cloud-based data infrastructure (AWS)Experience correlating models with telemetry dataStrong written and verbal communication skills for documenting assumptions, limitations, and validation resultsExperience with version control (Git) and reproducible workflows (Jupyter, containers)Collaborative mindsetEntrepreneurial problem-solverEffective written and verbal communicationPhysics-based and/or data-driven modelingBattery system modeling (degradation/aging, state estimation)Solar array/photovoltaic modeling (I-V, temperature dependence)","company":"Amazon","rawCompany":"amazon","city":"Seattle","state":"WA","isRemote":false,"isActive":false,"createdAt":"2026-09-16T03:13:35.534Z","occupations":[{"code":"17-2011.00","title":"Aerospace Engineers","slug":"aerospace-engineers"},{"code":"17-2199.11","title":"Solar Energy Systems Engineers","slug":"solar-energy-systems-engineers"},{"code":"15-2031.00","title":"Operations Research Analysts","slug":"operations-research-analysts"}],"industries":[{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"541330","title":"Engineering Services","slug":"engineering-services"},{"code":"927110","title":"Space Research and Technology","slug":"space-research-and-technology"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Modeling & Simulation Eng, Amazon Leo","description":"Overview\nIn this role you will develop and validate physics-based and data-driven models of the Leo satellite power system, building scalable simulation frameworks to predict battery SOC, solar power, thermal-electrical coupling, and degradation over the satellite lifecycle. You’ll feed architecture trade studies, design decisions, and on-orbit validation with quantified model outputs. You’ll work closely with cross-functional teams to enable operational planning tools like the Power Digital Twin. This is a fast-paced, collaborative role with a strong opportunity to influence satellite power planning and reliability.\n\nCompensation / Benefitshealth insurance (medical, dental, vision)401(k) matchingpaid time offparental leaveRSUs and sign-on paymentsflexible work arrangements and remote options\nResponsibilitiesDevelop, validate, and maintain physics-based and empirical models of the power systemBuild simulation frameworks to predict SOC, solar power, thermal-electrical coupling, and degradationOwn orbit-level power simulations using mission plans, orbital parameters, and hardware configurationCorrelate model predictions with on-orbit telemetry and close gaps to improve fidelityDevelop degradation models using lab data, manufacturer characterization, and flight dataSupport architecture trades, design decisions, and operational planning toolsCollaborate with power systems engineers, mission operations, and software teams to integrate models into services like the Power Digital Twin and hardware-in-the-loop testbedsRun parametric studies and sensitivity analyses for next-generation configurations\nKey requirementsBachelor's degree in a STEM discipline3+ years of experience developing physics-based or data-driven models for electrical, power, thermal, or electromechanical systems3+ years of proficiency in Python or Matlab for numerical simulation, data analysis, and model developmentExperience with model validation against experimental or operational dataExperience modeling battery systems (basic familiarity as preferred)Experience modeling solar array/photovoltaic performance (basic familiarity as preferred)Familiarity with orbital mechanics and how orbital parameters affect spacecraft power budgets (basic familiarity as preferred)Experience building simulation pipelines that run at scale (batch processing, parameter sweeps, Monte Carlo)Familiarity with cloud-based data infrastructure (AWS)Experience correlating models with telemetry dataStrong written and verbal communication skills for documenting assumptions, limitations, and validation resultsExperience with version control (Git) and reproducible workflows (Jupyter, containers)Collaborative mindsetEntrepreneurial problem-solverEffective written and verbal communicationPhysics-based and/or data-driven modelingBattery system modeling (degradation/aging, state estimation)Solar array/photovoltaic modeling (I-V, temperature dependence)","datePosted":"2026-09-16T03:13:35.534Z","dateModified":"2026-09-16T03:13:35.534Z","hiringOrganization":{"@type":"Organization","name":"Amazon","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle","addressRegion":"WA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"7db4a1da3b5934795eb413b0"},"url":"https://jobsearcher.com/jobs/7db4a1da3b5934795eb413b0"}}