Embedded System Intern (internship)

Company Description

AlgoBotix specializes in providing software solutions for the rapidly expanding global drone industry, serving both B2B and B2G markets. The company collaborates with UAV platform manufacturers, service providers, defense agencies, and governmental organizations. These innovative solutions support a broad range of applications, including aerial transportation, surveillance, agriculture, medical use, law enforcement, emergency missions, academia, and more. AlgoBotix is committed to advancing drone technology and addressing industry-specific needs for its diverse clientele.

Role Description

We are seeking a dedicated Embedded System intern (internship) for a full-time on-site role based in Bengaluru. The engineer will be responsible for designing, developing, and testing embedded software and systems. Daily tasks include collaborating with cross-functional teams to address technical challenges, supporting hardware and software integration, and implementing solutions for IoT-enabled devices. The role requires working on innovative projects to support various drone applications and ensure high-performance system designs.

Qualifications

Strong proficiency in C / C++ Python programming with good problem-solving and debugging skills.

Hands-on experience with Arduino and STM microcontrollers (STM32 preferred) for embedded development.

Experience working with any kind of IOT modules is a plus.

Solid understanding of TCP / IP networking concepts and socket-based communication.

Experience working with web-based REST APIs and SQL databases for data exchange and storage.

Familiarity with MAVLink protocol for UAV / drone communication is desirable.

Ability to read schematics, interface sensors / peripherals, and work with embedded development tools.

Good analytical and troubleshooting skills with the ability to identify and resolve system-level issues.

Effective written and verbal communication skills for team collaboration and documentation.

Enrollment in or completion of a degree in Electronics, Computer Science, Robotics, or a related field is preferred.