{"id":3702727,"url":"https://alion.io/job/vertiv-dvt-engineer-test-automation-data-systems-liquid-cooling","title":"DVT Engineer - Test Automation & Data Systems (Liquid Cooling)","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":406,"ghost_share":0.002,"stale_share":0.862,"repost_share":0.005,"time_to_fill_p50_days":14,"computed_at":"2026-11-09T06:03:00Z"}},"role":"QA","role_family":"QA","seniority":"middle","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":3,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"MATLAB","optional":false},{"name":"Python","optional":false},{"name":"Simulink","optional":false},{"name":"Anomaly Detection","optional":true},{"name":"CI/CD","optional":true},{"name":"Git","optional":true},{"name":"Grafana","optional":true}],"status":"live","first_seen_at":"2026-11-03T17:15:38Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-09T10:17:14Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Job Title: DVT Engineer - Liquid Cooling (Test Automation & Data Systems)\nJob Summary\nIf you have a background in software test, data acquisition, controls, simulation and plant modeling, or test automation, this role offers a unique opportunity to apply those skills to next-generation liquid cooling technology for AI-driven datacenters. You will fill a critical knowledge gap on the team, bridging software-driven testing methodologies with hands-on hardware validation.\nThe DVT Engineer (Test Automation & Data Systems) is responsible for advancing the team's capabilities in automated test execution, data acquisition system development, controls integration, and simulation-based validation. While executing Design Verification Testing (DVT) activities, this role places special emphasis on building and improving the software infrastructure that supports testing.\nThe engineer will work closely with cross-functional teams to automate test workflows, enhance data collection and analysis pipelines, develop simulation models for system-level validation, and support Factory Witness Testing (FWT) with robust, repeatable test processes.\nThis position requires collaboration across mechanical, electrical, controls, process, and manufacturing engineering in a fast-paced lab environment, with a strong emphasis on bringing software and automation expertise to a hardware-focused team.\nKey Responsibilities:\nDevelop, maintain, and execute automated test scripts and sequences for Design Verification Testing (DVT) of liquid cooling systems.\nDesign and configure data acquisition (DAQ) systems, including sensor integration, signal conditioning, and data logging pipelines.\nBuild and refine software tools for real-time monitoring, alarming, and visualization of test system performance.\nDevelop simulation and plant models (e.g., in MATLAB/Simulink, Python, or Modelica) to support virtual validation and test planning.\nCreate and maintain test automation frameworks that improve test repeatability, throughput, and coverage.\nIntegrate controls systems and PLC logic into test setups; support commissioning and troubleshooting of automated test stations.\nCollect, verify, and analyze test data using scripted workflows; automate report generation and data post-processing.\nCollaborate with mechanical, electrical, and controls engineers to define test requirements and translate them into automated procedures.\nSupport Factory Witness Testing (FWT) by developing automated test sequences and ensuring systems meet defined test conditions.\nIdentify and troubleshoot issues related to test software, DAQ configurations, instrumentation, and control system interfaces.\nSupport root-cause investigations for test failures using data-driven analysis and diagnostic tools.\nDevelop and maintain version-controlled test procedure documentation and software repositories.\nIdentify opportunities to improve test efficiency, data quality, and lab processes through automation and software tools.\nMaintain organization and cleanliness of lab spaces and test areas (5S practices).\nBasic Requirements:\nBachelor’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, Systems Engineering, or a related field (or equivalent hands-on experience).\n3-6 years of experience in test automation, data acquisition systems, controls engineering, software test, or simulation/modeling.\nProficiency in one or more programming languages such as Python, MATLAB, LabVIEW, or C/C++.\nExperience with data acquisition hardware and software (e.g., NI DAQ, HBM, Yokogawa, or similar platforms).\nStrong troubleshooting and problem-solving skills with an ability to debug both software and hardware systems.\nPreferred Qualifications:\nExperience developing simulation or plant models using MATLAB/Simulink, Modelica, or similar tools.\nFamiliarity with test automation frameworks and CI/CD pipelines for test execution.\nExperience with PLC programming, controls integration, or SCADA systems.\nKnowledge of thermal systems, liquid cooling, HVAC, or heat transfer fundamentals.\nExperience with real-time data visualization tools (e.g., Grafana, custom dashboards, or LabVIEW front panels).\nExposure to ASHRAE testing or similar performance validation methods.\nExperience supporting Factory Witness Testing (FWT) or customer-facing test activities.\nFamiliarity with version control systems (Git) and software development best practices.\nExperience with automated test reporting tools and frameworks for generating and distributing test results.\nFamiliarity with AI/ML integration in test automation, including predictive analytics, anomaly detection, or intelligent test optimization.\nThe successful candidate will embrace Vertiv’s Core Principals & Behaviors to help execute our Strategic Priorities.\nOUR CORE PRINCIPALS: Safety. Integrity. Respect. Teamwork. Inclusion.\nOUR STRATEGIC PRIORITIES\nHigh-Performance Culture\nCustomer Focus\nOperational Excellence\nInnovation\nFinancial Strength\nVERTIV BEHAVIORS\nOwn it\nAct with urgency\nFoster a customer-first mindset\nThink big and execute\nLead by example\nDrive continuous improvement\nLearn and seek out development\nPromote transparent & open communication \nAbout Vertiv\nVertiv (NYSE: VRT) brings together hardware, software, analytics and ongoing services to enable its customers’ vital applications to run continuously, perform optimally and grow with their business needs. Vertiv solves the most important challenges facing today’s data centers, communication networks and commercial and industrial facilities with a portfolio of power, cooling and IT infrastructure solutions and services that extend from the cloud to the edge of the network. Headquartered in Westerville, Ohio, USA, Vertiv employs around 34,000 people and does business in more than 130 countries. Visit Vertiv.com to learn more.\nWork Authorization\nNo calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.\nEqual Opportunity Employer\nVertiv is an Equal Opportunity/Affirmative Action employer. We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability. 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