Senior Technical Architect

About the role

Reference algorithm models developed by an upstream research group must be converted, optimized, and adapted into robust embedded C, partitioned across DSP and NPU/AI-accelerator hardware, and tuned per target platform and market.

What you'll do

• Convert computer vision algorithm reference implementations (e.g., MATLAB/Python prototype models) into optimized, production-quality embedded C
• Perform platform-specific adaptation: partition vision pipelines across a heterogeneous compute architecture where heavy pre/post-processing is offloaded to a DSP and…
• Perform market-specific adaptation: tune and validate detection/recognition behavior for different deployment environments, lighting conditions
• Design and implement embedded computer vision pipelines (image capture, pre-processing, inference, post-processing) in C/C++ on MCU-class hardware
• Integrate camera input pipelines (e.g., via USB or standard camera-interface protocols) and manage frame buffering, format conversion

What you need

• Python
• Git
• C++
• Embedded C
• Computer vision
• Test automation
• B.Tech or B.E. or B.Sc or BCA

Good to have

• Machine learning
• ETL
• TensorFlow
• MATLAB
• C