{"schemaVersion":"jobsearcher.job.v1","id":"390e5c717d734000710d28af","url":"https://jobsearcher.com/jobs/390e5c717d734000710d28af","canonicalUrl":"https://jobsearcher.com/jobs/390e5c717d734000710d28af","title":"Physics Simulation Lead - CFD/Multiphysics & Equity","description":"Location San Francisco\nEmployment Type Full time\nLocation Type On-site\nDepartment Science & Engineering\nCompensation $210K – $250K • Offers Equity\nAbout Stand\nStand is a new technology and insurance company revolutionizing how society assesses, mitigates, and adapts to climate risks. Our leadership team has extensive experience in insurance, technology, and climate science: building billions in market value at prior ventures. At Stand, we are rethinking how insurance enables proactive, science-driven resilience.\nExisting insurance models often rely on broad exclusions, leaving homeowners without options. At Stand, we leverage advanced deterministic models and cutting-edge analytics to provide personalized risk assessments—helping homeowners secure coverage and take proactive steps toward resilience.\nWhy Join Stand: At Stand, you’ll join a mission-driven team redefining insurance through the lens of climate resilience, building a transformative, data-driven insurance model with real-world impact for homeowners and communities on the front lines of climate change.\nThe Opportunity: As a Physics Simulation Team Lead on the Applied Science team, you will lead the development of Stand’s physics-based simulation capabilities across wildfire and future perils. This role begins as a hands-on technical lead and evolves into a people leader as the team scales.\nPhysics-based simulation is a core pillar at Stand. You will help transform traditionally high-cost, bespoke engineering workflows into scalable, validated, production-ready systems that directly power real-world risk decisions and drive tangible business outcomes.\nYou will remain deeply embedded in CFD, FEA, and multiphysics solvers, while shaping how simulations connect across scales, inform probabilistic risk models, and integrate with AI-driven acceleration techniques.\nThis position is ideal for someone who thrives in fast-paced environments, creates structure from ambiguity, owns outcomes end to end, collaborates effectively across disciplines, and is energized by building from zero to one.\nWhat You’ll Do:\nAct as the functional technical lead for the growing physics simulation sub-team within the Applied Science group, coordinating work across scales and perils while establishing and pioneering workflows, modeling standards, and validation practices.\n\nOwn the overall physics simulation roadmap, including solver development, model tuning, and validation, as well as prioritizing modeling investments across wildfire and future perils based on feasibility, impact, and business needs.\n\nPartner with recruiting to build the simulation sub-team, contributing to interviewing and onboarding early hires and laying the foundation for player-coach leadership as the team scales.\n\nDesign and lead expansion into new perils (e.g., wind, flood), including uncertainty scoping, validation milestones, and ownership swimlanes—standing up wholesale new engineering workflows end-to-end (necessitating getting hands dirty diving deep and learning quickly\n\nGuide the development of probabilistic risk mechanisms from deterministic physics models using computationally efficient approaches (e.g., surrogate or reduced-order methods).\n\nCollaborate closely across Applied Science and the full company, including with ML engineers and product teams, and communicate modeling decisions and tradeoffs clearly to leadership and partners.\n\nWhat We’re Looking For:\nPhD or Master’s degree in a relevant field, with 5+ years of hands-on experience leading and executing CFD-based simulations, including design, execution, and validation.\n\nExperience as a technical lead, managing projects or teams in highly dynamic, fast-paced environments.\n\nStrong attention to detail and succinct communication skills, with a demonstrated ability to set technical direction and prioritize modeling work, balancing research depth, delivery timelines, and business impact.\n\nProficiency with Fortran-based solvers, including running, modifying, and extending existing codebases; fluency in C++, Python, or similar languages for scripting, integration, and tooling; industry experience working with high-performance compute and parallel processing workflows\n\nStrong modeling mathematical intuition - able to make sound tradeoffs between fidelity, runtime, and uncertainty, and to identify the highest-leverage improvements without exhaustive experimentation.\n\nHighly self-motivated, with a “run-through walls to get the problem solved” method, self-directed, proactive, and adaptable; comfortable operating in fast-paced, ambiguous environments where problems, interfaces, and priorities evolve over time.\n\nPreferred Qualifications:\nExperience applying physics-based simulation to natural hazards, climate, or risk modeling (e.g., wildfire, wind, flood).\n\nExperience working directly with business units or product teams on customer or client-facing technology.\n\nPrior experience as a people manager in startup or high-growth environments.\n\nExperience designing and owning multiscale or multiphysics simulation pipelines, including coordinating validation efforts across models, data sources, and teams.\n\nHands-on experience with reduced-order modeling, surrogate models, or uncertainty quantification techniques.\n\nExperience integrating physics-based models with machine learning systems for acceleration or inference.\n\nCompensation\nThe annual base salary range for full-time employees in this position is $210,000 to $250,000 + meaningful Equity Grant.\n\nCompensation decisions are based on several factors, including an individual’s qualifications, the location where the role is performed, internal equity, and alignment with market data.\nAdditional Benefits:\nComprehensive benefits including above-market Health, Dental, Vision\n\nWeekly lunch stipend\n\nFlexible time off\n\n401k plan\n\nEqual Opportunity Employment\nStand is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. We believe that diversity enriches the workplace, and we are committed to growing our team with the most talented and passionate people from every community.\nWe are committed to providing reasonable accommodations for qualified individuals. If you require assistance\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.\nCompensation Range: $210K - $250K\n\n#J-18808-Ljbffr","company":"Standearth","rawCompany":"standearth","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-06-20T03:45:30.085Z","occupations":[{"code":"11-9121.00","title":"Natural Sciences Managers","slug":"natural-sciences-managers"},{"code":"19-2012.00","title":"Physicists","slug":"physicists"},{"code":"11-9041.00","title":"Architectural and Engineering Managers","slug":"architectural-and-engineering-managers"}],"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":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Physics Simulation Lead - CFD/Multiphysics & Equity","description":"Location San Francisco\nEmployment Type Full time\nLocation Type On-site\nDepartment Science & Engineering\nCompensation $210K – $250K • Offers Equity\nAbout Stand\nStand is a new technology and insurance company revolutionizing how society assesses, mitigates, and adapts to climate risks. Our leadership team has extensive experience in insurance, technology, and climate science: building billions in market value at prior ventures. At Stand, we are rethinking how insurance enables proactive, science-driven resilience.\nExisting insurance models often rely on broad exclusions, leaving homeowners without options. At Stand, we leverage advanced deterministic models and cutting-edge analytics to provide personalized risk assessments—helping homeowners secure coverage and take proactive steps toward resilience.\nWhy Join Stand: At Stand, you’ll join a mission-driven team redefining insurance through the lens of climate resilience, building a transformative, data-driven insurance model with real-world impact for homeowners and communities on the front lines of climate change.\nThe Opportunity: As a Physics Simulation Team Lead on the Applied Science team, you will lead the development of Stand’s physics-based simulation capabilities across wildfire and future perils. This role begins as a hands-on technical lead and evolves into a people leader as the team scales.\nPhysics-based simulation is a core pillar at Stand. You will help transform traditionally high-cost, bespoke engineering workflows into scalable, validated, production-ready systems that directly power real-world risk decisions and drive tangible business outcomes.\nYou will remain deeply embedded in CFD, FEA, and multiphysics solvers, while shaping how simulations connect across scales, inform probabilistic risk models, and integrate with AI-driven acceleration techniques.\nThis position is ideal for someone who thrives in fast-paced environments, creates structure from ambiguity, owns outcomes end to end, collaborates effectively across disciplines, and is energized by building from zero to one.\nWhat You’ll Do:\nAct as the functional technical lead for the growing physics simulation sub-team within the Applied Science group, coordinating work across scales and perils while establishing and pioneering workflows, modeling standards, and validation practices.\n\nOwn the overall physics simulation roadmap, including solver development, model tuning, and validation, as well as prioritizing modeling investments across wildfire and future perils based on feasibility, impact, and business needs.\n\nPartner with recruiting to build the simulation sub-team, contributing to interviewing and onboarding early hires and laying the foundation for player-coach leadership as the team scales.\n\nDesign and lead expansion into new perils (e.g., wind, flood), including uncertainty scoping, validation milestones, and ownership swimlanes—standing up wholesale new engineering workflows end-to-end (necessitating getting hands dirty diving deep and learning quickly\n\nGuide the development of probabilistic risk mechanisms from deterministic physics models using computationally efficient approaches (e.g., surrogate or reduced-order methods).\n\nCollaborate closely across Applied Science and the full company, including with ML engineers and product teams, and communicate modeling decisions and tradeoffs clearly to leadership and partners.\n\nWhat We’re Looking For:\nPhD or Master’s degree in a relevant field, with 5+ years of hands-on experience leading and executing CFD-based simulations, including design, execution, and validation.\n\nExperience as a technical lead, managing projects or teams in highly dynamic, fast-paced environments.\n\nStrong attention to detail and succinct communication skills, with a demonstrated ability to set technical direction and prioritize modeling work, balancing research depth, delivery timelines, and business impact.\n\nProficiency with Fortran-based solvers, including running, modifying, and extending existing codebases; fluency in C++, Python, or similar languages for scripting, integration, and tooling; industry experience working with high-performance compute and parallel processing workflows\n\nStrong modeling mathematical intuition - able to make sound tradeoffs between fidelity, runtime, and uncertainty, and to identify the highest-leverage improvements without exhaustive experimentation.\n\nHighly self-motivated, with a “run-through walls to get the problem solved” method, self-directed, proactive, and adaptable; comfortable operating in fast-paced, ambiguous environments where problems, interfaces, and priorities evolve over time.\n\nPreferred Qualifications:\nExperience applying physics-based simulation to natural hazards, climate, or risk modeling (e.g., wildfire, wind, flood).\n\nExperience working directly with business units or product teams on customer or client-facing technology.\n\nPrior experience as a people manager in startup or high-growth environments.\n\nExperience designing and owning multiscale or multiphysics simulation pipelines, including coordinating validation efforts across models, data sources, and teams.\n\nHands-on experience with reduced-order modeling, surrogate models, or uncertainty quantification techniques.\n\nExperience integrating physics-based models with machine learning systems for acceleration or inference.\n\nCompensation\nThe annual base salary range for full-time employees in this position is $210,000 to $250,000 + meaningful Equity Grant.\n\nCompensation decisions are based on several factors, including an individual’s qualifications, the location where the role is performed, internal equity, and alignment with market data.\nAdditional Benefits:\nComprehensive benefits including above-market Health, Dental, Vision\n\nWeekly lunch stipend\n\nFlexible time off\n\n401k plan\n\nEqual Opportunity Employment\nStand is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. We believe that diversity enriches the workplace, and we are committed to growing our team with the most talented and passionate people from every community.\nWe are committed to providing reasonable accommodations for qualified individuals. If you require assistance\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.\nCompensation Range: $210K - $250K\n\n#J-18808-Ljbffr","datePosted":"2026-06-20T03:45:30.085Z","dateModified":"2026-06-20T03:45:30.085Z","hiringOrganization":{"@type":"Organization","name":"Standearth","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"390e5c717d734000710d28af"},"url":"https://jobsearcher.com/jobs/390e5c717d734000710d28af"}}