Senior Embedded AI Engineer
AdCode:
14279
City:
Bangalore, Karnataka
Custom Field 3:
Custom Field 4:
Full Time
Custom Field 2:
Information Technology
Company:
Festo India Private Ltd.
Your job:
- Develop, optimize, and deploy machine learning models for embedded and edge devices
- Ensure real-time performance, memory efficiency, and low-power operation of on-device AI solutions
- Integrate ML algorithms with microcontrollers, embedded controllers, and edge computing platforms
- Implement pipelines for model conversion, quantization, and hardware acceleration
- Collaborate with software, controls, and hardware engineers to deliver production-grade embedded AI systems
- Participate in prototyping, testing, benchmarking, and continuous improvement of embedded AI solutions
- Work with the global research teams to translate concepts into scalable prototypes for industrial automation
Your qualification:
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Electronics, or related field
- 5 – 10 years of hands-on experience in Embedded Systems and AI/ML development
- Strong programming proficiency in Python, C/C++, and embedded development
- Practical experiencewith embedded ML frameworks such as TensorFlow Lite, ONNX Runtime, Edge Impulse, or similar
- Solid understanding of real-time embedded systems, microcontroller architectures, and communication protocols
- Experience with model optimization techniques (quantization, pruning, hardware-specific acceleration) is a plus
- Familiarity with edge hardware platforms such as ARM Cortex, STM32, ESP32, NVIDIA Jetson, or similar is desirable
- Ability to work in a fast-paced research-driven environment with strong ownership and autonomy
Your benefits at a glance: