As a Jr. Embedded Engineer, you will work closely with our engineering team to develop and enhance Edge systems and embedded AI solutions. This role provides an excellent opportunity to gain hands-on experience in AI and embedded systems development.

Skills

• Embedded C
• Python
• Linux
• ESP32
• STM32
• Arduino

Requirements

• Job Role Jr Embedded Engineer
• Job Type Full Time
• Workplace Type Onsite
• Industry Information Technology & Services

Secondary locations

About

Not provided

Responsibilities

* Development of hardware drivers and application development for Edge AI devices.
* Work on hardware interfacing (I2C, SPI, UART, GPIOs), And Network Technologies like 4G, 5G, Wi-Fi with various microcontroller boards.
* Design and implement Embedded C, Python, and C++ applications.
* Collaborate with the hardware team to ensure seamless integration of software and hardware components.
* Assist in board design and assembling tasks.

Other Requirements

* Proficiency in Embedded C, Python, and C++.
* Experience with hardware interfacing (I2C, SPI, UART, GPIOs).
* Familiarity with microcontroller boards such as ESP32, STM32, and Arduino.
* Expertise of Linux-based development.
* Experience with industry-standard and open-source tools for embedded development.
* Candidates should possess passion, be time-bound, and target-oriented.
* Knowledge in Industry Standard and Open-Source Tools: Git for version control,GCC for development, Visual Studio Code for integrated development,  Arduino/Microchip IDE for Embedded Development.

Good to have

Not provided

About the Company

Trois Infotech is a cutting edge technology company having products and solutions for Responsible surveillance, Cleantech, Telecommunication and Utility. Our state-of-the-art AI and computer vision research team is committed to transform the camera-based surveillance. Our research includes edge and server-based computer vision products for security surveillance, traffic enforcement, defense, law and order, crime analysis, perimeter security with violations and incident detection, unconstrained ANPR, Pose invariant Face Recognition, Gait Recognition etc. In the Cleantech domain, we have an enterprise waste management product which can track and monitor the entire waste management process with role-based web and mobile applications and insightful reports and dashboards. We have large scale wide implementation of computer vision products and platform and mobile applications for waste management monitoring. We have ongoing projects in India and the Middle East. The current total team size is more than 100.