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Test Engineer, R&D

ON.energy
CompanyON.energy
CategoryEngineering
LocationVillahermosa
RemoteOn-site (inferred)
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted26 Jun 2026
Last verified30 Jul 2026
SourceEmployer career page (greenhouse)
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Description
ON.energy is building the power infrastructure that makes the AI era possible. As AI demand surges past what the grid and traditional data centers can support, ON.energy provides a new class of power technology proven at gigawatt scale and trusted by the world’s leading cloud and AI companies. Our systems are already deployed across 2.5 GW of hyper-scale campuses, validated by top U.S. national labs, and certified for grid-safe operation by major utilities. With real products in the field, we’re scaling faster than the grid can, transforming power from a bottleneck into a competitive advantage for the companies building the future. ROLE OVERVIEW  The Testing Engineer will support the Test Lead in the design, technical sizing, integration, and execution of tests for Battery Energy Storage Systems (BESS) and Grid-Following/Grid-Forming (GFL/GFM) systems within   ON.energy’s Research and Development area. The engineer will assist with product development, validation, and risk mitigation activities, collaborating in the planning and execution of validation cycles in the testing laboratory under the supervision of the Test Lead, to whom they will report directly.   The main objectives are to mitigate system architecture risks for   ON.energy’s current and future product lines through rigorous laboratory stress testing, bridge the gap between laboratory results and real-world conditions, and support training, troubleshooting, and customer engagement activities.   KEY RESPONSIBILITIES    Design, Sizing, and Integration Design and Sizing - Support the calculation and sizing of BESS systems (capacity, power, discharge rate, operating cycles, and efficiency) and GFL/GFM solutions according to project requirements. Component Selection - Support the selection and integration of appropriate components based on the application (peak shaving, power quality, HIL, dynamic test profiles, etc.), including batteries, BMS, inverters, protection devices, and cabling. Electrical Engineering - Assist in preparing single-line electrical diagrams, calculation reports, and bills of materials supporting each solution. Test Planning Test Protocol Development - Design and document detailed testing procedures utilizing Hardware-in-the-Loop (HIL) laboratory assets to validate the performance of BESS and GFL/GFM systems under extreme conditions (e.g., fast frequency response, grid and load transitions, or grid instability). Translate product design criteria, industry standards, and customer requirements into detailed work plans. Test Coordination - Support the technical implementation of each test, from pre-test documentation (test plans) through results generation and documentation (test reports). Compliance and Safety - Contribute to ensuring that all   ON.energy   testing hardware and procedures comply with industry safety regulations, applicable technical standards, and local laboratory operating protocols. Risk Mitigation and Technical Validation Failure Mode Discovery - Support the use of the controlled laboratory environment to identify edge-case failures that are impossible to test in real-world field conditions. Data Analysis - Support the analysis of high-fidelity data streams from laboratory sensors to provide actionable feedback to   ON.energy   product and project teams, as well as component suppliers, for firmware and hardware iterations. Verification - Execute planned functional tests under the direction of the Test Lead and report collected data against product requirements and performance criteria for internal and customer review. Documentation and Knowledge Transfer Manual Development - Support the conversion of laboratory-based learnings into field-ready commissioning documents and troubleshooting guides. Training - Assist in coordinating training plans to ensure consistent knowledge transfer across th
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