{"id":827462,"url":"https://alion.io/job/grid-care-physical-systems-modeling-engineer","title":"Physical Systems Modeling Engineer","company":{"id":674447,"name":"GridCARE","domain":"gridcare.ai","url":"https://alion.io/company/grid-care","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Redwood City, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":140000,"max":250000,"currency":"USD","period":"year","gross":null,"usd_annual":250000},"salary_estimate":null,"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Python","optional":false},{"name":"Time Series","optional":false}],"status":"live","first_seen_at":"2026-08-20T22:23:09Z","employer_posted_date":"2026-08-20","last_verified_at":"2026-11-04T06:21:46Z","board_verified":true,"closed_at":null,"days_open":75,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":75},"description":"About GridCARE\nGridCARE is the pioneer of Power Acceleration - a new category solving the most critical constraint in AI's growth trajectory: immediate access to power. As demand for computing skyrockets, access to energy has become the defining bottleneck in the AI infrastructure race. While leading tech companies invest billions in speculative, long-term solutions that may take decades to arrive, GridCARE's Energize™ platform uses physics-based AI to identify and activate gigawatts of hidden capacity in today's electric grid - enabling hyperscalers, data center developers, and utilities to power AI infrastructure years sooner than conventional approaches and without costly upgrades.\nFounded at Stanford's Doerr School of Sustainability, GridCARE has assembled a world-class team spanning power systems, AI, and infrastructure, and is backed by leading climate-tech and deep-tech investors.\nAt GridCARE, you will:\nWork at the intersection of AI, energy, and infrastructure - the foundation of the next industrial revolution.\nPartner with hyperscalers, developers, and utilities on high-impact, real-world deployments.\nHelp shape a more abundant, efficient, and resilient energy future for the digital era.\nJoin a company defining a new category - Power Acceleration for AI.\nReceive competitive compensation, equity, and benefits in a fast-growth, mission-driven environment.\nLearn more about GridCARE:\nTechCrunch: GridCARE thinks more than 100 GW of data-center capacity is hiding in the grid\n\nUtility Dive: Portland General Electric invests in AI-powered flexibility to speed data-center connection\n\nGridCARE Raises $64 Million Series A to Create a New Category: Power Acceleration\n\nGridCARE Named a World Economic Forum Technology Pioneer for AI Power Innovation\n\nAbout the role\nWe are looking for a quantitative engineer to help build the models at the core of how GridCARE understands data center power: how facilities consume energy today, and how that consumption will evolve over time. In this role, you will develop simulation and forecasting models for existing and future data centers and the components inside data centers that will be used to support planning decisions across the full horizon, from intraday operations to multi-year infrastructure development. The goal is not simply to predict future demand, but to build models that can generate realistic future operating scenarios under a wide range of assumptions and conditions.\nThis role is well suited for someone who enjoys reasoning about complex systems, working with imperfect data, and translating real-world behavior into quantitative models. You should be excited to learn new domains and apply rigorous analytical thinking to difficult problems.\nWhat you'll do\nBuild models that accurately represent the physical systems inside of a data center\n\nDevelop simulation frameworks that capture uncertainty, growth trajectories, and operational behavior across planning horizons.\n\nExplore how changes in technology, utilization, deployment strategies, and external factors influence future energy consumption.\n\nAnalyze historical data to identify patterns, drivers, and sources of uncertainty.\n\nEvaluate model performance and continuously improve assumptions, methodologies, and predictive accuracy.\n\nCollaborate with engineers, researchers, and business stakeholders to translate practical questions into quantitative analyses.\n\nCommunicate model assumptions, limitations, and findings clearly to both technical and non-technical audiences.\n\nTake ownership of key modeling components and drive them from concept through validation and deployment.\n\nWhat we're looking for\nBachelor's, Master's, or PhD in a quantitative field, with 1-5+ years of relevant industry or applied research experience.\n\nExperience working with data, mathematical models, simulations, forecasting problems, and time-series analysis.\n\nExperience with forecasting under uncertainty, probabilistic modeling, or scenario generation.\n\nA passion for understanding how data centers work and operate: their components, load behavior, operating constraints, and how that operation interacts with the electric grid.\n\nProficiency in Python or a similar programming language.\n\nAbility to think from first principles and learn unfamiliar technical domains quickly.\n\nComfort working with ambiguity and open-ended questions.\n\nStrong written and verbal communication skills.\n\nDemonstrated ability to effectively use AI tools in technical workflows.\n\nNice to have\nExposure to infrastructure systems, energy systems, cloud computing, data centers, telecommunications networks, or other large-scale engineered systems.\n\nExposure to data center, GPU, CPU power consumption modeling.\n\nExperience modeling data center to grid interaction, such as interconnection, load response, or capacity constraints.\n\nExperience developing models used to support real-world operational or planning decisions.\n\nExperience working with large datasets.\n\nWhy GridCARE\nWork on a problem that directly affects the speed of deploying AI and energy infrastructure\n\nOwn technical direction on a product built from the ground up alongside domain experts\n\nMeaningful organizational influence in a small, high-trust team\n\nCompetitive salary, equity, and benefits; hybrid in Redwood City with remote flexibility\n\nOur Philosophy\nWe believe small teams of strong engineers can solve important, real-world infrastructure problems. We value clear thinking, strong ownership, pragmatic execution, and systems that hold up in production. If you're excited about technical leadership at the intersection of energy, infrastructure, and modern SaaS - we'd love to talk.\nSalary Range\n$140,000 - $250,000","description_format":"text","description_chars":5703,"description_truncated":false,"requirements":{"experience_years_min":1,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Power Grid","Energy AI"],"lifecycle":[{"event":"open","at":"2026-09-12T15:11:48Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 3","filings_12m":3,"filings_prev_12m":0,"green_card_filings_12m":0,"median_offered_wage_usd":202500,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":0}],"liveness":{"score":9,"band":"cold","label":"Long shot","p_open":1,"p_active":0.322,"p_room":0.28,"age_days":75,"expected_fill_days":24,"reasons":["conf:0","win:tail","crowd:junior"],"computed_at":"2026-11-04T06:34:25Z"},"pay":{"stated_usd_annual":250000,"is_top_pay":true},"html_url":"https://alion.io/job/grid-care-physical-systems-modeling-engineer","json_url":"https://alion.io/job/grid-care-physical-systems-modeling-engineer.json","meta":{"generated_at":"2026-11-04T10:46:30Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":16005,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-05T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":674447},"rest":"https://alion.io/mcp/rest/get_company?id=674447"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgrid-care-physical-systems-modeling-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fgrid-care-physical-systems-modeling-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fgrid-care-physical-systems-modeling-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/grid-care-physical-systems-modeling-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgrid-care-physical-systems-modeling-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":827462}},{"tool":"search_jobs","arguments":{"company":"gridcare.ai","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":827462},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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