{"id":2984373,"url":"https://alion.io/job/fervoenergy-reservoir-engineer-modeling","title":"Reservoir Engineer, Modeling","company":{"id":1801525,"name":"Fervoenergy","domain":"fervoenergy.com","url":"https://alion.io/company/fervoenergy","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Golden, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":140000,"max":200000,"currency":"USD","period":"year","gross":null,"usd_annual":200000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-10-16T17:18:15Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-10-27T04:25:46Z","board_verified":true,"closed_at":null,"days_open":10,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":10},"description":"About Fervo Energy\nFervo Energy (NASDAQ: FRVO) is a modern power company developing next-generation geothermal resources to meet the growing demand for affordable, reliable, 24/7 carbon-free energy. Our mission is to transform geothermal into America’s most dependable and affordable source of clean, around-the-clock power. By combining innovations in horizontal drilling, fiber-optic sensing, and advanced reservoir engineering, Fervo has developed a repeatable approach to building utility-scale enhanced geothermal systems. Our flagship Cape Station development in Utah is planned to deliver 500 MW of firm, carbon-free power, and we are advancing a development pipeline of more than 50 GW. Join us and work alongside world-class engineers, geoscientists, operators, project builders, and business leaders working to make geothermal a cornerstone of a more reliable, affordable, and sustainable energy future.\nPosition Description\nJoining Fervo as a Reservoir Engineer focused on reservoir modeling and history matching means owning the calibration of our subsurface models against real field performance - both the stimulation fracture growth created during completions and the production and pressure response of the reservoir over time. This role also defines and drives the testing and data acquisition programs needed to close calibration gaps and continuously improve history-matching accuracy. The position is ideal for an engineer who enjoys rigorous model-to-data reconciliation, diagnosing the sources of mismatch, and designing the next test that resolves it.\nThe Reservoir Engineer will build, calibrate, and maintain reservoir and fracture models, with a strong focus on history matching both stimulation-induced fracture growth and reservoir production/pressure behavior. This role emphasizes quantitative rigor, root-cause diagnosis of model mismatch, and the design of targeted diagnostic testing to improve match quality over time.\nThe position collaborates closely with Completions, D&C, Reservoir, and Data Science teams to align stimulation design, field data acquisition, and simulation workflows so that models stay predictive as the asset base grows.\nResponsibilities\nStimulation & Fracture Growth History Matching\nBuild and calibrate hydraulic fracture growth models (e.g., ResFrac or comparable geomechanical/fracture simulators) against observed stimulation data.\n\nHistory-match fracture height, length, and complexity using treatment pressure, microseismic, DAS/DTS, and tracer data.\n\nCharacterize in-situ stress state and natural fracture (NF) interactions using fracture mechanics principles to guide fracture growth and stress-shadow modeling.\n\nAccount for fracturing-fluid rheology in fracture models, including its influence on fracture width, height growth, and proppant transport.\n\nIncorporate completion design parameters (stage spacing, cluster design, pump schedule, fluid/proppant systems) into fracture growth models and iterate as new stimulation data arrives.\n\nTranslate calibrated fracture models into simulation-ready fracture network representations for downstream reservoir modeling.\n\nQuantify uncertainty in fracture geometry and connectivity and communicate its impact on well and pad performance predictions.\n\nReservoir Production & Pressure History Matching\nBuild and maintain reservoir simulation models (full-field and sector-scale) representing fractured EGS reservoirs.\n\nHistory-match production and injection rates, bottom-hole pressures, and thermal/temperature response against field data.\n\nIterate reservoir model parameters (permeability, fracture conductivity, compartmentalization, injector-producer connectivity) to improve match quality across wells and pads.\n\nDiagnose root causes of history-match mismatch and distinguish model, data, and operational sources of error.\n\nUse history-matched models to inform production forecasts, well spacing, and injection/production strategy.\n\nTesting & Data Program Development\nDesign diagnostic and surveillance testing programs - pressure transient tests, interference tests, tracer tests, DFITs, PLT/DTS/DAS - specifically to improve history-matching accuracy.\n\nIdentify the data gaps most limiting model calibration and prioritize acquisition programs to close them.\n\nDefine minimum viable data requirements per well and pad to support robust history matching within cost and schedule constraints.\n\nContinuously evaluate testing protocols against realized model performance and refine the testing program based on lessons learned.\n\nExtend calibrated models beyond history matching to new prospects, forecasting anticipated crossflow behavior and helping design corresponding crossflow test programs; scope and cadence for this forward-looking work will be defined in coordination with Resource and Exploration teams.\n\nBuild repeatable workflows (including automation/scripting) to speed up history-matching iteration and testing feedback loops.\n\nCross-Functional Collaboration\nPartner with Completions and D&C to align stimulation design changes with fracture model predictions and observed outcomes.\n\nPartner with Reservoir and Resource teams to ensure production, injection, and pressure data flows support ongoing model calibration.\n\nDocument modeling methodologies and calibration standards to promote consistency across projects.\n\nTeam and Culture\nOperate with technical independence and objectivity while maintaining strong collaborative relationships with Completions, D&C, and asset teams.\n\nProvide constructive challenge and thoughtful recommendations grounded in data and engineering principles.\n\nBalance rigor with pragmatism in a fast-paced, cross-functional environment.\n\nContribute to a culture of transparency, consistency, and continuous improvement across the portfolio.\n\nBe responsive and reliable in remote settings, maintaining momentum without requiring constant oversight.\n\nAdapt quickly to shifting priorities, new data, and evolving model scopes.\n\nQualifications\nRequired\nB.S. in Engineering (Petroleum, Mechanical, Chemical, or related discipline).\n\n5+ years of experience in reservoir engineering, reservoir simulation, or hydraulic fracture modeling; advanced degree may be considered in lieu of experience.\n\nHands-on experience with reservoir and/or fracture simulation software (e.g., ResFrac, CMG, Eclipse, or comparable).\n\nExperience history matching production, pressure, and/or fracture growth data against simulation models.\n\nStrong understanding of fluid flow in fractured/porous media and hydraulic fracture mechanics.\n\nExperience interpreting pressure transient and completion diagnostic data (DFITs, PLT/DTS/DAS, tracer, microseismic).\n\nStrong analytical and programming/scripting skills (e.g., Python) to support model calibration and workflow automation.\n\nStrong analytical, synthesis, and communication skills, including the ability to explain model uncertainty clearly.\n\nPreferred\nExperience in geothermal reservoir engineering, enhanced geothermal systems (EGS), or unconventional resource development.\n\nDirect experience with ResFrac or other coupled geomechanics/fracture-reservoir simulators.\n\nWorking knowledge of fracture mechanics and in-situ stress state, including natural fracture (NF) interactions, to guide fracture growth and stress-shadow modeling.\n\nFamiliarity with fracturing-fluid rheology and its impact on fracture geometry, height growth, and proppant placement.\n\nExperience designing diagnostic testing programs specifically to support model calibration, including forward-looking crossflow test design for new prospects.\n\nExperience integrating multiple diagnostic datasets (DAS/DTS, tracer, microseismic, PLT) into a single calibration workflow.\n\nExperience with assisted/automated history matching techniques (e.g., ensemble methods, machine learning-assisted calibration).\n\nAbility to translate detailed technical analysis into executive-level summaries.\n\nLocation\nFervo Energy has offices in Houston, TX, Golden, CO, Reno, NV, Oakland, CA, and Salt Lake City, UT. This position will be eligible for some hybrid work flexibility, but regular in-office presence at any of the above locations will be required.\nCompensation\nFervo provides a comprehensive suite of benefits including medical, dental, vision, life, short-term and long-term disability, flexible paid time off, and paid parental leave. Additionally, Fervo offers an incentive stock options program, a bonus incentive program, and a 401(k) plan with an employer match.\nFervo Energy is providing the compensation range and general description of other compensation and benefits that the company in good faith believes it might pay and/or offer for this position based on the successful applicant’s education, experience, knowledge, skills, and abilities in addition to internal equity and geographic location. Expected Salary: $140,000-$200,000 based on Colorado locality, pay in other locations may vary.\nFervo Energy reserves the right to ultimately pay more or less than the posted range and offer other compensation, depending on circumstances not related to an applicant’s sex or other status protected by local, state, or federal law.\nBenefits & Perks\nFervo offers a comprehensive benefits package designed to support your health, financial well-being, and life outside of work. Benefits for eligible employees include:\nMedical, dental, and vision plan options\nEmployer-paid basic life insurance and short-term and long-term disability coverage\nA 401(k) plan with up to 6% match\nFlexible paid time off and paid parental leave\nFamily-building, fertility, hormonal health, pregnancy, postpartum, and parenting support through Carrot\nA dependent care FSA for eligible child and elder care expenses\nAn annual Lifestyle Spending Account for eligible wellness expenses, including fitness, financial planning, pet insurance, and pet care\nEmployee ownership opportunities through Fervo’s Employee Stock Purchase Program, as well as stock option grants and bonus opportunities for eligible roles\nBenefits and programs are subject to eligibility requirements and may change.\nOur Workplace\nFervo Energy highly values having employees work in the office to foster collaboration and strengthen our company culture. This role follows a hybrid schedule, with team members expected to work in the office three days per week. Fervo considers this in-office schedule an essential function of the role. Your recruiter can share more information about the schedule.\nEqual Opportunity Employer\nFervo Energy is an Equal Opportunity Employer and does not discriminate on the basis of race, color, creed, gender, religion, marital status, registered domestic partner status, age, national origin, ancestry, physical or mental disability, medical condition, sex, genetic information, sexual orientation, military or veteran status, or any other consideration made unlawful by federal, state, or local law. Fervo also prohibits discrimination based on the perception that an individual has any of these characteristics or is associated with a person who has or is perceived as having any of these characteristics.","description_format":"text","description_chars":11128,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Hybrid work","Life insurance","Parental leave","Stock options"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-21T08:14:51Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 5","filings_12m":5,"filings_prev_12m":1,"green_card_filings_12m":0,"median_offered_wage_usd":147500,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":0}],"liveness":{"score":89,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.894,"p_room":1,"age_days":10,"expected_fill_days":35,"reasons":["conf:1","velocity","win:early"],"computed_at":"2026-10-27T05:46:45Z"},"pay":{"stated_usd_annual":200000,"is_top_pay":true},"html_url":"https://alion.io/job/fervoenergy-reservoir-engineer-modeling","json_url":"https://alion.io/job/fervoenergy-reservoir-engineer-modeling.json","meta":{"generated_at":"2026-10-27T06:24:58Z","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":6469,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-28T00:00:00Z"}},"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":1801525},"rest":"https://alion.io/mcp/rest/get_company?id=1801525"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ffervoenergy-reservoir-engineer-modeling"},{"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%2Ffervoenergy-reservoir-engineer-modeling"},{"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%2Ffervoenergy-reservoir-engineer-modeling"},{"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/fervoenergy-reservoir-engineer-modeling\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ffervoenergy-reservoir-engineer-modeling"}]}