Embedded Systems Engineer (AI + Edge Systems)

We are building next-generation interactive systems combining embedded electronics, AI, robotics, and real-world environments. Our products span IoT, robotics, sensor-driven gaming systems, and AI-powered edge devices.

Role Overview

We are looking for an Embedded Systems Engineer with AI exposure who can design, build, and deploy real-time intelligent systems on edge hardware - and familiar with rapid prototyping processes using cnc machines, and 3d printers, etc.

You will work on systems involving:

• Microcontrollers (ESP32, STM32, RP2040, Arduino-class devices)
• Sensor networks (IR, LDR, IMU, cameras, etc.)
• Real-time communication (UART, TCP/IP, WebSockets, CAN, RS485)
• AI models deployed on edge or connected pipelines
• PCB Design software (Kicad, Diptrace, etc.)
• 3D modelling using Blender, Fusion, etc. and 3D Printing

Responsibilities

• Design and develop embedded firmware for real-time systems
• Integrate sensors, actuators, and communication modules
• Implement robust communication protocols (UART, SPI, I2C, TCP)
• Work on edge AI pipelines (TinyML, ONNX, TensorFlow Lite, etc.)
• Optimize systems for low latency, reliability, and scalability
• Interface embedded devices with backend systems (Node.js, APIs, cloud)
• Debug complex hardware-software interactions in production environments
• Collaborate on system architecture for scalable deployments
• Assemble working prototype hardware using tools like 3D printing, cnc milling, laser cutting, etching, etc.

Qualifications

B. Tech. (minimum)

“In your application, briefly explain a system you built where hardware + software + communication all had to work together reliably.”

Location: Harlur Road/Bellandur, Bengauru, KAPay: 20,000/- to 50,000/- per month