Electrical Test Engineer

Roles & Responsibilities Design, execute, and document comprehensive test plans for prototype and commercial hardware and firmware systems. Collaborate with R&D and product design teams to test, debug, and validate control implementations in real-world environment settings. Perform hardware probing, board-level testing, and firmware flashing (ESP32, Atmel AVR, NRF series) using specialized diagnostic tools, multimeters, and oscilloscopes. Conduct flow, power, and efficiency testing on solar water pumps and power systems to ensure strict performance compliance. Identify hardware defects and firmware bugs, conduct root-cause analysis, and maintain prioritized issue tracking logs and release notes. Maintain complete technical documentation, changelogs, and device history records across pilot and production phases. Communicate test findings clear and concisely to engineering teams and key stakeholders via reports and technical presentations. Provide escalated technical support for field pilots and lead knowledge transfer/training to operations and support teams during commercial launch. Does This Sound Like You? Bachelor's degree in Electrical, Electronics, or Mechatronics Engineering (Master's degree preferred). 2+ years of hands-on experience in testing embedded hardware and firmware systems. Proficiency in reading PCB schematics, probing circuits, and operating equipment like oscilloscopes and multimeters (Eagle CAD experience is a plus). Solid understanding of solar energy systems, DC/DC converter topologies, and off-grid solar hardware design considerations. Demonstrated ability to log, track, and troubleshoot firmware bugs on microcontrollers (ESP32, Atmel AVR, NRF51/52). Experience working in the off-grid solar or solar water pumping sector is strongly preferred. T2/T3 class license from the Energy and Petroleum Regulatory Authority (EPRA) is a plus. Strong analytical, root-cause troubleshooting, and task prioritization skills in a fast-paced environment. Excellent written and verbal communication skills in English, with the ability to convey technical findings to non-technical stakeholders. Familiarity or hands-on experience with emerging AI tools, machine learning applications, or AI-driven research and testing methods is a strong plus.