{"schemaVersion":"jobsearcher.job.v1","id":"cb7fc7e2b23246379fcc479c","url":"https://jobsearcher.com/jobs/cb7fc7e2b23246379fcc479c","canonicalUrl":"https://jobsearcher.com/jobs/cb7fc7e2b23246379fcc479c","title":"Energy Systems Modeling Intern (Python, NumPy)","description":"Job Description\r\nRemote · Part-time (15-20 hrs/week) · San Francisco Bay Area, CA · Unpaid / Academic Credit\r\nWhat You're Walking Into\r\nKelvolta builds physical models of how large electrical loads actually behave, at timescales ordinary metering never sees. Our work spans industrial manufacturing, AI data centers, EV charging, and other markets in which demand is growing fast and the economics of storage turn on behavior nobody has measured. We're a lean team, so interns work close to the physics rather than on the edges of it.\r\n\"…Learning to build things that actually matter in a startup where I'm constantly learning and adapting.\"— L. Sanchez, UC Santa Barbara\r\nSkills You'll Put to Use and Develop\r\nNumerical modeling in Python with NumPy and SciPy: building a defensible simulation of a physical system from published equipment specifications rather than from a ready-made dataset\r\nTime-series and frequency-domain analysis: sampling, filtering, and what a measurement at one resolution can and cannot tell you about behavior at another\r\nParameter discipline: every input in our models is sourced and documented, so that any assumption can be checked or replaced by someone who disagrees with it\r\nTranslating manufacturer datasheets and technical literature into model parameters\r\nWho We're Looking For\r\nCurrently-enrolled (not graduated) upper-division undergraduate or graduate students in Physics, Electrical Engineering, Applied Mathematics, or a related quantitative field. We're looking for people who can code but whose instinct is to ask what the system is physically doing, not just what the data says.\r\nUseful background in any combination: Python with NumPy/SciPy, signal processing, power electronics or circuits coursework, MATLAB or Simulink, numerical methods, control systems.\r\nIf you have ever built a model of something you could not directly measure, say so in your application.\r\nPast interns have come in with strong fundamentals and left with experience building production-level work. We care more about what you can do than what year you're in.\r\nWhat You Get\r\nHands-on experience working on real projects with meaningful impact\r\nOpportunities to take ownership and contribute to production-level work\r\nDirect mentorship from a domain-expert team, including a CEO with 25 years of energy project development experience\r\nExposure to real datasets and practical problem-solving\r\nA fast-paced environment that helps you grow quickly\r\nA strong portfolio of work you can speak to in interviews\r\nEligibility for academic credit (8–10 units, subject to university approval)\r\nPriority consideration for extended or paid opportunities based on performance\r\nThis is an unpaid internship. All participants are eligible for academic credit, and strong performers are considered for paid roles.\r\nLogistics\r\nCommitment: 15-20 hours per week\r\nDuration: Minimum 10 weeks\r\nStart and end dates: Flexible; prefer November start date\r\nFormat: Remote · Part-time · Unpaid\r\nInterviews: Candidates should be available for a ~15-minute initial interview the week of November 9. Please apply only if you can schedule that conversation.\r\nHow to Apply\r\nClickEasy Applyabove. Candidates who interview the week of November 9 strongly preferred. Applications reviewed on a rolling basis.\r\n#Physics #ElectricalEngineering #SignalProcessing #NumPy #SciPy #ComputationalPhysics #PowerSystems #IndustrialEnergy #DataCenters #AIInfrastructure #EnergyTech #Simulation #Python #Internship #StartupInternship","company":"Kelvolta","rawCompany":"kelvolta","city":"Eskdale","state":"WV","isRemote":false,"isActive":false,"createdAt":"2026-11-07T01:19:02.721Z","occupations":[{"code":"17-2071.00","title":"Electrical Engineers","slug":"electrical-engineers"},{"code":"17-2199.03","title":"Energy Engineers, Except Wind and Solar","slug":"energy-engineers-except-wind-and-solar"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541330","title":"Engineering Services","slug":"engineering-services"},{"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":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Energy Systems Modeling Intern (Python, NumPy)","description":"Job Description\r\nRemote · Part-time (15-20 hrs/week) · San Francisco Bay Area, CA · Unpaid / Academic Credit\r\nWhat You're Walking Into\r\nKelvolta builds physical models of how large electrical loads actually behave, at timescales ordinary metering never sees. Our work spans industrial manufacturing, AI data centers, EV charging, and other markets in which demand is growing fast and the economics of storage turn on behavior nobody has measured. We're a lean team, so interns work close to the physics rather than on the edges of it.\r\n\"…Learning to build things that actually matter in a startup where I'm constantly learning and adapting.\"— L. Sanchez, UC Santa Barbara\r\nSkills You'll Put to Use and Develop\r\nNumerical modeling in Python with NumPy and SciPy: building a defensible simulation of a physical system from published equipment specifications rather than from a ready-made dataset\r\nTime-series and frequency-domain analysis: sampling, filtering, and what a measurement at one resolution can and cannot tell you about behavior at another\r\nParameter discipline: every input in our models is sourced and documented, so that any assumption can be checked or replaced by someone who disagrees with it\r\nTranslating manufacturer datasheets and technical literature into model parameters\r\nWho We're Looking For\r\nCurrently-enrolled (not graduated) upper-division undergraduate or graduate students in Physics, Electrical Engineering, Applied Mathematics, or a related quantitative field. We're looking for people who can code but whose instinct is to ask what the system is physically doing, not just what the data says.\r\nUseful background in any combination: Python with NumPy/SciPy, signal processing, power electronics or circuits coursework, MATLAB or Simulink, numerical methods, control systems.\r\nIf you have ever built a model of something you could not directly measure, say so in your application.\r\nPast interns have come in with strong fundamentals and left with experience building production-level work. We care more about what you can do than what year you're in.\r\nWhat You Get\r\nHands-on experience working on real projects with meaningful impact\r\nOpportunities to take ownership and contribute to production-level work\r\nDirect mentorship from a domain-expert team, including a CEO with 25 years of energy project development experience\r\nExposure to real datasets and practical problem-solving\r\nA fast-paced environment that helps you grow quickly\r\nA strong portfolio of work you can speak to in interviews\r\nEligibility for academic credit (8–10 units, subject to university approval)\r\nPriority consideration for extended or paid opportunities based on performance\r\nThis is an unpaid internship. All participants are eligible for academic credit, and strong performers are considered for paid roles.\r\nLogistics\r\nCommitment: 15-20 hours per week\r\nDuration: Minimum 10 weeks\r\nStart and end dates: Flexible; prefer November start date\r\nFormat: Remote · Part-time · Unpaid\r\nInterviews: Candidates should be available for a ~15-minute initial interview the week of November 9. Please apply only if you can schedule that conversation.\r\nHow to Apply\r\nClickEasy Applyabove. Candidates who interview the week of November 9 strongly preferred. Applications reviewed on a rolling basis.\r\n#Physics #ElectricalEngineering #SignalProcessing #NumPy #SciPy #ComputationalPhysics #PowerSystems #IndustrialEnergy #DataCenters #AIInfrastructure #EnergyTech #Simulation #Python #Internship #StartupInternship","datePosted":"2026-11-07T01:19:02.721Z","dateModified":"2026-11-07T01:19:02.721Z","hiringOrganization":{"@type":"Organization","name":"Kelvolta","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Eskdale","addressRegion":"WV","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"cb7fc7e2b23246379fcc479c"},"url":"https://jobsearcher.com/jobs/cb7fc7e2b23246379fcc479c"}}