l o a d i n g

IoT Engineer Needed for Embedded Systems and Smart Device Development

Oct 29, 2025 - Expert

$16,000.00 Fixed

We're seeking an experienced IoT Engineer to design and develop embedded systems for smart IoT devices with cloud connectivity, sensor integration, and real-time data processing capabilities.

Project Overview:

Develop an IoT ecosystem for smart home automation including sensor nodes, gateway devices, cloud backend integration, and mobile app connectivity. The system should support multiple sensors, actuators, and bi-directional communication.

Key Responsibilities:


Design and develop embedded firmware for IoT devices

Integrate multiple sensors and actuators (temperature, humidity, motion, etc.)

Implement communication protocols (MQTT, HTTP, WebSockets, CoAP)

Develop low-power and energy-efficient solutions

Create device-to-cloud data pipelines

Implement OTA (Over-The-Air) firmware updates

Design PCB layouts and hardware schematics (basic level)

Develop device provisioning and authentication systems

Build real-time monitoring dashboards

Implement edge computing and local data processing

Create REST APIs for device management

Ensure security and encrypted communication


Required Skills:


3+ years of embedded systems and IoT development experience

Strong proficiency in C/C++ programming for embedded systems

Experience with microcontrollers (ESP32, ESP8266, Arduino, STM32, Raspberry Pi)

Knowledge of communication protocols (MQTT, HTTP, I2C, SPI, UART)

IoT platform experience (AWS IoT, Azure IoT Hub, Google Cloud IoT)

Sensor integration expertise (analog/digital sensors)

Low-power design and battery optimization techniques

Understanding of wireless protocols (WiFi, Bluetooth/BLE, LoRa, Zigbee)

PCB design basics (optional but preferred)

Linux/RTOS experience for embedded systems


Technical Stack:


Microcontrollers: ESP32, ESP8266, Arduino, STM32, Raspberry Pi

Programming: C/C++, Python, MicroPython

Protocols: MQTT, HTTP/HTTPS, WebSocket, CoAP, Modbus

IoT Platforms: AWS IoT Core, Azure IoT Hub, Google Cloud IoT

Wireless: WiFi, Bluetooth Low Energy (BLE), LoRaWAN, Zigbee

RTOS: FreeRTOS, Zephyr OS

Tools: Arduino IDE, PlatformIO, ESP-IDF

Version Control: Git

Cloud Services: AWS Lambda, EC2, DynamoDB, S3


Hardware Components:


Environmental sensors (DHT22, BME280, DS18B20)

Motion sensors (PIR, ultrasonic, radar)

Light sensors (LDR, BH1750)

Gas and air quality sensors (MQ series, SGP30)

Actuators (relays, servos, motors)

Display modules (OLED, LCD, LED matrix)

Power management (solar panels, batteries, charging circuits)


IoT Features to Implement:


Multi-sensor data collection and aggregation

Real-time data transmission to cloud

Device authentication and secure communication (TLS/SSL)

MQTT pub/sub messaging architecture

Local data storage and buffering

Remote device configuration and control

OTA firmware update mechanism

Device health monitoring and diagnostics

Alarm and notification system

Data visualization dashboard

Energy-efficient sleep modes

Offline operation capability


Security Requirements:


Secure boot and encrypted firmware

TLS/SSL communication encryption

Device authentication (certificates, tokens)

Secure credential storage

Protection against common IoT vulnerabilities

Regular security updates capability


Power Optimization:


Deep sleep mode implementation

Wake-on-event triggers

Battery life optimization (target: 6+ months)

Solar charging integration

Power consumption monitoring


Cloud Integration:


AWS IoT Core or Azure IoT Hub setup

Device shadow/twin implementation

Time-series data storage (InfluxDB, TimescaleDB)

Real-time data processing (AWS Lambda, Azure Functions)

Historical data analytics

Alert and notification system (SNS, email, push)


Deliverables:


Complete embedded firmware source code

Hardware component list and wiring diagrams

PCB design files (if applicable)

Cloud infrastructure setup and configuration

MQTT broker setup and configuration

Device provisioning and management system

OTA update mechanism implementation

Real-time monitoring dashboard

Mobile app API documentation

Technical documentation and architecture diagrams

User manual and setup guide

Testing and validation report

Post-deployment support (2 weeks)


Budget: $45 - $90/hour (Hourly) or $8,000 - $16,000 (Fixed project)

Timeline: 8-12 weeks

  • Proposal: 0
  • Less than 3 month
AuthorImg
Scott Nixon Inactive
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Member since
Oct 29, 2025
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