
IoT Embedded Engineer – Smart Street Lighting
- or -
Post a project like this$470
- Posted:
- Proposals: 13
- Remote
- #4357624
- Expired
⭐⭐⭐⭐⭐ Electronic Circuit Design | PCB Design | Firmware Development | IoT Solutions
Electronics design, analog design, embedded coding ,PCB design and software(CCS,HTML,Javascipt, Java, Python,Matlab, PHP,Wordpress)

1550+ Projects (iOS | Android | Mac OS | Web | Win | BlockChain | IOT)

74210511818456107498303606721121689144867971109412218704042164000968570120978431537355




Description
Experience Level: Expert
Job Responsibilities:
Design and develop embedded hardware and software for Smart Street Lighting.
Integrate LoRa, Zigbee, and Wi-Fi modules for seamless communication.
Implement power-efficient dimming and switching mechanisms.
Develop sensor-based fault detection and real-time monitoring systems.
Optimize data transmission and cloud integration for remote control.
Work with high-load relays to manage grouped streetlight control.
Conduct prototype testing and validate field deployments.
Troubleshoot issues in hardware and firmware, ensuring long-term system reliability.
Required Skills:
✅ Embedded Systems: Experience with ESP32, Raspberry Pi, and STM32.
✅ Wireless Communication: LoRa, Zigbee, MQTT, and LPWAN.
✅ IoT & Cloud: Experience with AWS IoT, Azure IoT, or Google Cloud IoT.
✅ Programming: C, C++, Python, and firmware development.
✅ Circuit Design & Power Management: Understanding of PCB layout, relays, and AC/DC circuits.
✅ Data Handling: Experience in real-time data collection, processing, and fault prediction.
✅ Field Testing & Deployment: Ability to conduct real-world validation of smart lighting setups. (Guiding Engineer would be suffice)
Preferred Qualifications:
Hands-on experience in smart city projects or energy management systems plus.
Familiarity with power distribution networks and smart metering.
Knowledge of edge AI for predictive maintenance and anomaly detection.
Design and develop embedded hardware and software for Smart Street Lighting.
Integrate LoRa, Zigbee, and Wi-Fi modules for seamless communication.
Implement power-efficient dimming and switching mechanisms.
Develop sensor-based fault detection and real-time monitoring systems.
Optimize data transmission and cloud integration for remote control.
Work with high-load relays to manage grouped streetlight control.
Conduct prototype testing and validate field deployments.
Troubleshoot issues in hardware and firmware, ensuring long-term system reliability.
Required Skills:
✅ Embedded Systems: Experience with ESP32, Raspberry Pi, and STM32.
✅ Wireless Communication: LoRa, Zigbee, MQTT, and LPWAN.
✅ IoT & Cloud: Experience with AWS IoT, Azure IoT, or Google Cloud IoT.
✅ Programming: C, C++, Python, and firmware development.
✅ Circuit Design & Power Management: Understanding of PCB layout, relays, and AC/DC circuits.
✅ Data Handling: Experience in real-time data collection, processing, and fault prediction.
✅ Field Testing & Deployment: Ability to conduct real-world validation of smart lighting setups. (Guiding Engineer would be suffice)
Preferred Qualifications:
Hands-on experience in smart city projects or energy management systems plus.
Familiarity with power distribution networks and smart metering.
Knowledge of edge AI for predictive maintenance and anomaly detection.

Avinash J.
0% (0)Projects Completed
-
Freelancers worked with
-
Projects awarded
0%
Last project
27 Jul 2025
United Kingdom
New Proposal
Login to your account and send a proposal now to get this project.
Log inClarification Board Ask a Question
-
There are no clarification messages.
We collect cookies to enable the proper functioning and security of our website, and to enhance your experience. By clicking on 'Accept All Cookies', you consent to the use of these cookies. You can change your 'Cookies Settings' at any time. For more information, please read ourCookie Policy
Cookie Settings
Accept All Cookies