Vectar Energy is a sustainable energy development company invested in integrating CleanTech with FinTech, delivering incentivized, low carbon, data-driven, and cost-effective energy solutions to our clients.
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This is a full-time hybrid role for an Embedded Systems & IoT Engineer, located in Abuja, with some work-from-home flexibility.
We are seeking a highly skilled Embedded Systems & IoT Engineer to support the optimisation and manufacturing of ecoWise’s end-to-end embedded systems.
Key Responsibilities
Support manufacturing, testing of embedded hardware (sensors, microcontrollers, data acquisition systems)
Support PCB delivery, component selection and acquisition, and integration for rugged, field-deployable devices.
Ensure compliance with relevant energy metering, electrical safety, and environmental standards.
Develop, test, and optimise embedded firmware for real-time data capture, storage, and transmission.
Implement protocols for data encryption, error handling, and failover mechanisms.
Integrate with IoT platforms, APIs, and cloud-based analytics systems.
Implement and maintain wireless communication protocols (LoRa, NB-IoT, LTE-M, Wi-Fi, BLE, etc.).
Ensure reliable, secure data streaming from remote solar installations to the ecoWise cloud platform.
Support the integration of AI/ML models and edge computing capabilities to reduce cloud dependency.
Define QA protocols to ensure accuracy, reliability, and security of all embedded systems.
Conduct field trials to validate performance under diverse environmental conditions.
Work closely with cross-functional teams (software, product, operations) to align embedded solutions with ecoWise’s business goals.
Qualifications
Bachelor’s or Master’s in Electrical/Electronics Engineering, Computer Engineering, or related field.
2+ years’ experience in embedded systems design covering both hardware and software.
Prior experience in climate technology or renewable energy sectors is advantageous
Proficient in Internet of Things (IoT) and in integrating IoT solutions
Proven track record in IoT product development from concept to deployment.
Proficiency with microcontroller platforms (ARM Cortex, ESP32, STM32, etc.) and development tools.
Experience with PCB design tools (Altium, KiCAD, Eagle) and circuit debugging.
Strong programming skills in C/C++, Python, or embedded Java.
Experience with wireless protocols (LoRa, NB-IoT, LTE-M, Zigbee, etc.) and cloud IoT services (AWS IoT, Azure IoT, Google Cloud IoT).
Familiarity with AI/ML integration for embedded systems (TensorFlow Lite, Edge Impulse) is a plus.
Knowledge of carbon credit MRV processes, renewable energy monitoring, or industrial IoT is an advantage.
Ability to work both independently and collaboratively in a hybrid work environment
Excellent problem-solving skills and attention to detail.
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