We are looking for a skilled Embedded Engineer with interest in AI and IoT to join our R&D; team. The role involves designing and developing embedded firmware, edge AI applications, and connected device solutions that integrate with our IoT SaaS platform.

The candidate will work on next-generation smart devices, enabling real-time data processing, edge intelligence, and seamless cloud connectivity.

Key Responsibilities

Design and develop embedded firmware for IoT devices.

Build AI-enabled edge devices capable of local data processing and decision making.

Develop firmware using C/C++ for microcontrollers and embedded systems.

Integrate embedded systems with AI models and edge inference frameworks.

Work with sensors, communication modules, and edge computing hardware.

Implement IoT communication protocols such as MQTT, HTTP, BLE, and Wi-Fi.

Collaborate with AI, cloud, and hardware teams to deploy intelligent devices.

Optimize embedded systems for low power consumption, performance, and reliability.

Support hardware bring-up, debugging, and testing.

Prototype and experiment with AI-driven IoT solutions in the R&D; lab.

Required Skills

Solid programming skills in C / C++ for embedded systems

Experience with microcontrollers (ESP32,



STM32, ARM Cortex)

Understanding of RTOS (FreeRTOS or similar)

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

Basic understanding of AI/ML concepts for edge devices

Experience with embedded debugging tools

Familiarity with Git and embedded development workflows

Preferred Skills

Experience with Edge AI frameworks such as

TensorFlow Lite

TinyML

Edge Impulse

Experience with embedded Linux systems

Knowledge of device OTA updates and remote device management

Experience with cloud IoT platforms (AWS IoT, Azure IoT, GCP IoT)

Experience with computer vision or sensor data processing

Education

Bachelors or Master’s degree in:

Electronics Engineering

Embedded Systems

Electrical Engineering

Computer Engineering

Robotics / AI

Experience

0–3 years (Junior / Entry level)

OR

3–6 years (Mid-level Embedded Engineer)

What We Offer

Opportunity to work on AI + IoT innovation (AIoT)

Hands-on experience with edge intelligence and smart devices

Work with cutting-edge embedded hardware and AI models

Collaborative R&D-driven; startup environment

📌 Embedded Engineer (Bengaluru)
🏢 Loctell Solutions
📍 Bengaluru