Electrical Test Engineer at SunCulture Kenya Ltd

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.