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We are a top global leader, manufacturing smart energy solutions. The company's broad range of products encompasses intelligent inverter and Storage systems & revolutionary EV charger; by doing that, we are changing the way electricity is produced and consumed around the world.
What will you be doing
The Quality Engineer will report to our Quality Manager in Israel and will be part of our team located at Modiin Production site in Israel. The Quality Engineer will supervise and conduct Quality control inspections at the production line, to meet Engineering and Quality and Reliability requirements. The Quality Engineer will support the Quality Manager to implement improved monitoring methods and lesson learn activities on the production line. Quality Engineer will be corporate with R&D, Engineering, Head Quarter Q&R and local Operation teams to reflect improvements to requirements related to Quality in Design for Manufacturability, Engineering Instructions and Tools. The Quality Engineer will lead implementations of improvement plans and actions that shall result with improved production FPYs and Filed Reliability. The Quality Engineer will be responsible for leading investigations and root cause analysis for in process failures and customers claims for CAPA implementation. The Quality Engineer will manage the MRB and reflect Quality related Costs to the site manager.
Country:
Israel
City:
Modiin

The Mission: Solve the Power Density Crisis AI data centers are no longer constrained by compute alone - they are constrained by the physics of power delivery. SolarEdge is building next-generation power platforms for the AI era, moving beyond legacy copper-and-iron infrastructure toward software-defined power systems. Our architecture combines Solid-State Transformers (SST), High-Voltage DC (HVDC), and battery-backed buffering to unlock higher density, higher efficiency, and faster deployment for hyperscale customers. We are looking for a deeply technical Product Manager who operates at the intersection of hardware physics and software intelligence, translating customer requirements into validated engineering reality. What you will own system -Level Product Definition: Define the end-to-end architecture for AI data center power platforms, including SST/HVDC topology, protection coordination, and software-defined operating modes. Engineering-Grade Requirements: Own the PRD and turn customer needs into crisp, testable specs across HW/FW/SW, from MVP to scale. Positioning and Packaging: Define differentiation, product boundaries, integration strategy, and a roadmap aligned to real customer adoption. Key Responsibilities Drive Architecture Tradeoffs: Make data -driven decisions across constraints: efficiency vs safety vs footprint vs cost-to-deploy. Evidence and Validation Strategy: Define the proof of trust and orchestrate validation (fault injection, characterization, reliability evidence) required for hyperscaler-grade diligence. End-to-End Execution Leadership: Act as the execution leader for the product, driving delivery from requirements through prototype bring-up and customer pilots across RnD, Ops, QA, and service. Customer Technical Alignment: Build the artifacts that win technical confidence: technical briefs, pilot success criteria, and traceability matrices.
 
Country:
Israel
City:
Modiin