Lead Embedded AI Engineer

Festo • Bengaluru, Karnataka • Posted July 01, 2026

Position Overview

Your job:


  • Develop and deploy AI models on embedded systems

  • Optimize ML models for real-time performance and memory constraints and implement inference pipelines on microcontrollers and edge devices

  • Integrate AI systems with industrial communication protocols and collaborate with AI researchers and automation engineers

  • Benchmark and optimize model performance
  • Your qualification:

  • Degree in Computer Engineering, Electrical Engineering, or related field

  • 6+ years experience in embedded software development with strong C/C++ programming experience

  • Experience with embedded Linux or RTOS, machine learning deployment on edge devices is mandatory

  • Experience with TensorFlow Lite, ONNX, or Edge AI frameworks, ARM architectures, GPUs, or accelerators is preferred

  • Experience in robotics, industrial automation, or IoT and familiarity with signal processing or control systems...