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:

Bachelors or Masters degree in Computer Science, Electrical Engineering, Electronics, or related field
510 years of hands-on experience in Embedded Systems and AI/ML development
Strong programming proficiency in Python, C/C++, and embedded development
Practical experience with 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

Working Location: Bommasandra Industrial Area, Hosur Main Road, Bangalore - 99.

Working Days: 5 days

Working Model: Hybrid

Working Timings: 7:45 AM to 5:00 PM

Working Experience: 2-10 years of experience

Embedded AI Engineer