What Jobs are available for Iot Engineer in the United Arab Emirates?
Showing 2 Iot Engineer jobs in the United Arab Emirates
Embedded Software Engineer- IoT
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About the Role
We are seeking an experienced Embedded Software Engineer with a strong background in IoT . In this role, you will design and develop firmware and applications for advanced IoT devices. You should be highly technical, hands-on with low-level programming and communication protocols, and proficient in developing graphical user interfaces using Qt. Experience with MQTT for cloud connectivity and IoT messaging is also expected. You will work closely with cross-functional teams to create robust, power-optimized solutions across both firmware and high-level application layers.
Responsibilities :
Firmware & Driver Development
- Develop firmware for MCU and SoC platforms (e.g., STM32, ESP32).
- Design and maintain Embedded Linux OS images using the YOCTO Project.
- Develop and optimize drivers for serial interfaces (UART, SPI, I2C), digital audio (I2S), and additional peripheral interfaces.
- Optimize code for memory efficiency, power consumption, and real-time performance while adhering to industry coding standards.
IoT Protocol Integration
- Integrate and support wireless protocols such as LoRa, BLE, Zigbee, WIFI, and 4G/5G.
- Implement network stacks for efficient data management, error correction, and security.
- Leverage MQTT for reliable cloud messaging and IoT connectivity.
- Tackle RF challenges by fine-tuning antenna design, mitigating interference, and ensuring regulatory compliance.
Application & UI Development
- Develop and maintain embedded graphical user interfaces using Qt.
- Write high-level application code in C/C++ and Python.
System Testing & Optimization
- Diagnose and resolve system issues using debugging tools (oscilloscopes, logic analyzers, embedded debuggers).
- Collaborate with hardware teams by reviewing schematics, PCB layouts, datasheets, and application notes.
- Ensure optimal performance in resource-constrained and real-time environments through systematic testing and optimization.
Collaboration & Version Control
- Work with cross-functional hardware and software teams, particularly for power-sensitive and ultra-low power projects.
- Maintain version control using tools like Git and follow best practices for continuous integration.
Qualifications :
- Minimum of 3+ years of professional experience in embedded software development, IoT solutions architecture, and implementation.
- Proven experience in embedded system design and low-level programming.
- Hands-on experience with platforms such as STM32, ESP32, and Embedded Linux.
- Deep understanding of IoT communication protocols (including LoRa, BLE, Zigbee, WIFI, RF long-range) and practical experience with MQTT.
- Expertise in C/C++, Python, and UI development using Qt.
- Ability to review and understand hardware schematics, PCB layouts, and datasheets.
- Excellent debugging skills using industry-standard instruments and IDEs.
- Strong communication skills and a track record of successful collaboration in cross-functional teams.
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AI Module Development Engineer - IoT & Digital Platforms
Posted today
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Job Purpose:
To design, build, and integrate AI modules into IoT/IIoT and digital platforms by managing the full machine learning lifecycle — from model training to deployment — ensuring scalable and business-aligned solutions.
Key Responsibilities:- AI Module Development & Integration – Design and build AI modules that integrate seamlessly into IoT/IIoT and digital platforms.
- Machine Learning Model Lifecycle – Develop, train, validate, and maintain ML models for predictive maintenance, anomaly detection, optimization, and risk scoring.
- System & Platform Integration – Work with APIs, data pipelines, and dashboards to integrate AI solutions into enterprise and industrial systems.
- Model Training – Prepare data, select algorithms, and train models with high accuracy and scalability.
- Production Deployment – Deploy, monitor, and optimize ML models in production environments (cloud and edge).
- Collaborate with cross-functional product and engineering teams to ensure AI solutions meet business requirements.
- Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related field.
- Strong expertise in AI/ML frameworks (TensorFlow, PyTorch, Scikit-Learn).
- Proven hands-on experience in ML model training and production deployment .
- Solid understanding of IoT/IIoT platforms (AWS IoT, Azure IoT, or custom).
- Experience in data engineering & API integration .
- Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
- End-to-end ownership of ML model lifecycle.
- Strong analytical and problem-solving skills.
- Ability to bridge technical solutions with business impact.
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