We are seeking a dynamic Embedded Systems intern with a passion for innovation to join our team at LivNSense. As an intern, you will have the opportunity to work on cutting-edge projects involving C Programming, C++ Programming, Internet of Things (IoT), Object Oriented Programming (OOP), Data Structures, Algorithms, and ARM Microcontroller.

Key Responsibilities

• Collaborate with our team to design and develop embedded systems solutions for real-time monitoring and control applications.
• Write efficient and optimized code in C/C++ for embedded systems.
• Implement IoT technologies to connect embedded devices to the cloud for data analysis and visualization.
• Utilize OOP principles to design modular and scalable embedded software solutions.
• Apply knowledge of data structures and algorithms to optimize system performance and memory usage.
• Work with ARM Microcontrollers to develop firmware for embedded systems.
• Assist in testing, debugging, and troubleshooting embedded systems to ensure functionality and reliability.
  
  

If you are a motivated individual with a strong technical background and a desire to learn and grow in the field of Embedded Systems, we want to hear from you. Apply now to join our innovative team at LivNSense!

About Company: LivNSense is a seed-funded product company that serves the manufacturing and production industries, with a primary focus on the continuous manufacturing and construction industry. Incubated in India with a global presence across India, the USA, and the UK and in strategic collaboration with leading IoT ecosystem partners. Within a short span of three years, the company has acquired a significant Fortune 500 customer base, with clear visibility of a solid pipeline of customers across India, the USA, and EMEA. The company is in pilot revenues and now in growth scaling mode, with a targeted income of $100M by FY-26. The company has successfully launched GreenOps, a Digital Twins Platform that enables cognitive functions for a cleaner, optimized, and streamlined production process, reducing the carbon footprint by 10% and improving EBITDA by 4% to 7%.