Tack One is a Singapore-based technology company specialising in location intelligence and Internet of Things (IoT) solutions. Through its consumer brand, Tack GPS, and enterprise division, TackEvo, the company offers a range of products designed to enhance personal safety, asset tracking, and environmental monitoring.
Project role: Engineering for Embedded Systems in IoT, Industrial and AI Applications
They are seeking a hands-on Embedded Systems Engineer keen to develop skills in end-to-end embedded electronic solutions, including hardware design and integration, firmware development, and practical problem-solving. While prior experience in hardware design and debugging, real-world testing, troubleshooting, and optimising embedded systems is beneficial, they value someone with a drive to learn and grow. The candidate should be comfortable reviewing and collaborating on PCB designs to ensure optimal system performance.
Key Responsibilities:
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Develop embedded systems for IoT and industrial applications, ensuring robustness and reliability in outdoor environments.
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Design and integrate low-power microcontroller-based solutions with various industrial sensors (I2C, SPI, RS485, UART, 4-20mA, etc.).
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Implement and optimise embedded firmware for microcontrollers (STM32, ESP32, or similar) using C/C++/Arudino.
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Develop low-power firmware techniques to maximise battery life in remote deployments.
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Conduct hands-on hardware debugging, troubleshooting, and validation of embedded systems in both lab and field environments.
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Work closely with the external team to ensure functional and efficient hardware integration.
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Evaluate and select sensor technologies for real-time environmental monitoring applications.
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Implement wireless communication protocols (BLE, LoRa, NB-IoT, or LTE-M) to transmit sensor data.
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Collaborate with cloud engineers to integrate sensor data into backend platforms via MQTT, CoAP, or HTTP.
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Optimise hardware and firmware for cost-effective mass production while maintaining performance and reliability.
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Work closely with manufacturing facilities to support the manufacturing process, including design for manufacturability (DFM) and testability (DFT).

Engineering for Embedded Systems in IoT, Industrial and AI Applications