Embedded Engineer

Loctell Solutions; Bengaluru; On-site; INR 1,200,000 - 2,000,000; Full time

Benefits offered by this job

Opportunity to work on AI + IoT AIoT

Hands-on edge intelligence experience

Cutting-edge embedded hardware and AI

R&D-driven startup environment

Job summary

Loctell Solutions is seeking an Embedded Engineer with a passion for AI and IoT to join our R&D team in Bengaluru. You will design and develop embedded firmware, build AI-enabled edge devices, and integrate with our IoT SaaS platform.

You will work on next-generation smart devices, enabling real-time data processing, edge intelligence, and cloud connectivity. The role requires hands-on firmware development in C/C++ and collaboration with cross-functional teams.

Qualifications

• Strong 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.

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.

Skills

C/C++ for embedded

Microcontrollers (ESP32, STM32, ARM)

RTOS (FreeRTOS)

IoT protocols (MQTT, HTTP, BLE, UART,

Education

Bachelors or Master’s degree in Electronics / Electrical / Computer Engineering

Robotics / AI

Tools

TensorFlow Lite

TinyML

Edge Impulse

Embedded Linux

OTA updates

AWS/Azure/GCP IoT platforms

Job description

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

• Strong 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