Programs Director, Climate & Energy Innovation at Vectar Energy

Role Description

• 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.