{"id":3745203,"url":"https://alion.io/job/vertiv-advanced-controls-engineer-3","title":"Advanced Controls Engineer","company":{"id":58885,"name":"Vertiv","domain":"vertiv.com","url":"https://alion.io/company/vertiv","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":83,"open_postings":460,"ghost_share":0.004,"stale_share":0.863,"repost_share":0.009,"time_to_fill_p50_days":14,"computed_at":"2026-11-07T05:47:08Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Westerville, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Git","optional":false},{"name":"Python","optional":false},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-11-04T09:36:35Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-07T09:59:45Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Job Summary\nTheAdvanced Thermal Control Engineer will provide technical expertise in Thermal Controls algorithm development focused in the areas of optimization and conditional-based maintenance routines and logic. This position will support the integration of these algorithms into the base Vertiv Thermal Controls embedded and software platforms throughout the R&D, implementation, and testing verification phases. In addition, this position will work with design engineering to create and work with system simulation models. Heavy integration of these models and algorithms into the Thermal Controls testing frameworks to provide automated testing support is expected.\nJob Role\nThis role will work on a global team with resources and physical/virtual lab environments spanning multiple regions and time zones. The position will report into the Global Thermal Line of Business and will impact the global product portfolio. The Global Thermal product portfolio includes traditional air cooled (DX), pumped refrigerant economizer, Chilled water/Chiller, Liquid Cooled, heat rejection, software, and controls-based products. This position will look holistically across the portfolio and help identify opportunities for advanced algorithm development and then take those ideas to production driving significant customer value around the world.\nResponsibilities\nRequirements analysis: Requirements gathering, algorithm prototyping, data analysis, test campaign design\nProject management: Project planning, task estimation, version control\nFull lifecycle algorithm development: Design, review, testing, integration assistance to firmware developers\nDocumentation: Program commentary, user guides for service and troubleshooting\nProduct testing: Unit testing, system integration testing, and field test support\nLeadership: Effective lead engineer, consistent positive attitude, creativity, accepts broad responsibility\nOther tasks and activities as required by management\nRequirements\n5+ years experience with mechanical system controls and algorithm/code design\nBachelor’s degree in Engineering, Computer Science, Electrical Engineering, Mechanical Engineering, Automation/Controls, or equivalent experience.\nExperience with control design\nUnderstanding of applying algorithms to production code\nExpertise with software programming languages including but not limited to C, C++, and Python\nFamiliarity with software development environments and tools including Source code version control / Git\nFamiliarity with ML/AI technologies\nFluency in English\nPreferred Qualifications\nUnderstanding of HVAC Thermodynamics and various refrigeration cycles\nSingle phase, two phase, and direct-to-chip liquid cooling experience\nMachine learning and artificial intelligence technologies\nTravel Requirements\nWillingness to travel up to 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