Vectar is a climate technology company established in 2020. Known for ecoWise, Africa’s first digital Monitoring, Reporting & Verification (dMRV) embedded platform, Vectar transforms environmental credit data into real funding, accelerating solar deployment through voluntary carbon markets. ecoWise certifies high-quality credits and streamlines sales, unlocking finance for small-scale clean energy providers to expand solar access and lower costs for users. Vectar leverages technology and incentivized solutions for global clean energy access, especially in developing economies.

We are recruiting to fill the position below:

Job Title: Embedded Systems Engineer

Location: Abuja (FCT)

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 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.
• 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.
• Experience with real-time operating systems (RTOS) for embedded applications.
• Implement Machine Learning (ML) and Artificial Intelligence (AI) algorithms for real-time decision-making and automation.
• Develop and analyze circuit schematics, PCB layouts, and embedded system designs.
• Write and optimize firmware for microcontrollers (ARM, ESP32, STM32, etc.) and embedded hardware.
• Integrate wireless communication protocols (LoRa, Wi-Fi, Bluetooth, 5G)
• Conduct hardware debugging, testing, and troubleshooting of embedded systems.
• Collaborate with software engineers to integrate an AI-driven Web application

Requirements

• Bachelor’s or Master’s degree in Electrical/Electronics Engineering, Mechatronics, or a related field with a minimum of two (2) years of hands-on experience.
• Proficiency in Python, C/C++, and embedded firmware programming.
• Experience with AI/ML frameworks such as TensorFlow, PyTorch, or OpenCV.
• Hands-on experience with microcontrollers, FPGAs, and embedded computing platforms
• Ability to troubleshoot and debug embedded systems at both hardware and software levels
• Proven track record in IoT product development from concept to deployment.
• Proficiency with microcontroller platforms (ARM Cortex, ESP32, STM32, etc.) and development tools.
• ess protocols (LoRa, NB-IoT, LTE-M, Zigbee, etc.) and cloud IoT services (AWS IoT, Azure IoT, Google Cloud IoT).
• 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
• Prior experience in climate technology or renewable energy sectors is advantageous.

Application Closing Date
Not Specified.