
Embedded Systems Engineer
2 weeks ago
Role Overview:
We are looking for a highly motivated
Embedded Systems Engineer
with strong experience
in
embedded programming
, touch display
UI development
, and
IoT cloud integration
(
AWS preferred
). The candidate will work on designing, developing, and deploying IoTenabled devices that capture and send data (GPS, temperature, audio recordings, sensor streams) to AWS servers in a structured, secure, and scalable format.
Key Responsibilities:
- Develop and maintain
firmware for embedded systems
(ESP32/STM32/ARM or similar MCUs). - Design and implement
user interfaces for touchscreen displays
(LVGL, TFT, ST7789, or similar libraries/frameworks). - Work on
data acquisition from multiple sensors
(GPS, temperature/humidity, 4G module, microphones, etc.) and ensure real-time data processing. - Implement
secure communication protocols
(HTTPs, MQTT, WebSockets) for device-to-cloud data transfer. - Integrate devices with
AWS IoT Core / AWS Lambda / AWS S3 / DynamoDB
for data ingestion and storage. - Ensure
data formatting and structuring
for multiple devices to be easily consumed by backend systems. - Collaborate with cloud/backend teams to ensure seamless integration of embedded devices with AWS infrastructure.
- Debug, optimize, and test embedded systems for
low power consumption and reliability
. - Maintain
documentation, version control (Git)
, and testing frameworks for embedded projects.
Required Skills & Qualifications:
- Strong hands-on experience in
Embedded C/C++
and/or
Python for microcontrollers
. - Good understanding of
RTOS (FreeRTOS preferred
) and embedded peripherals (UART, SPI, I2C, I2S, ADC, etc). - Experience with
touchscreen GUI frameworks (LVGL, TFT_eSPI, or similar)
. - Knowledge of
AWS IoT Core, AWS S3, Lambda, DynamoDB, and related cloud services
. - Familiarity with
IoT data protocols
– MQTT, HTTPS, CoAP. - Experience in handling
GPS modules, environmental sensors, and I2S microphones
. - Knowledge of secure
data handling and OTA firmware updates
. - Strong problem-solving, debugging, and optimization skills.
Preferred Skills (Good to Have):
- Experience with
ESP-IDF, PlatformIO, Arduino framework on ESP32/ESP32-S3
. - Knowledge of
containerized deployments (Docker, Kubernetes)
for AWS backend integration. - Familiarity with
CI/CD pipelines for embedded systems
. - Understanding of
industrial IoT (IIoT) standards
.
Education:
- Bachelor's or Master's degree in
Electronics, Computer Engineering, Embedded Systems, or related field.
-
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