Algorithm Engineer

01 ago - Italia
Datalogic

Job Description

The Decoding Software team is in charge of research and development of the main software asset of Datalogic that is the suite of proprietary algorithms able to read traditional barcodes, 2D codes and some kind of OCR text. Codes and text can be either printed on paper labels or directly marked (e.g., by laser etching) on parts of plastic, metal, wood, or other material. Captured images are typically processed by the edge-computing platform embedded into the scanner and the computing power, available to run our proprietary algorithms, also depends itself on the specific use‑case.
Responsibilities
- Contribute to design and develop SW libraries dedicated to multi-threaded signal/image processing, mainly based on proprietary algorithms, and intended to run on a multitude of edge-computing platforms which differ from each other by number of CPU cores, CPU architecture (Intel, ARM, MIPS, etc.), memory capacity and Operating System (Windows, Linux, or Android)
- Contribute to design and develop new SW components, following well-established Software Quality Assurance (SQA)



principles and best-practices
- Contribute to research and develop the next generation of decoding algorithms based on both Machine-Learning and more traditional Computer-Vision technologies
- Contribute to pursue the continuous improvement of Datalogic Decoding-Library ease-of-use and performance to facilitate its adoption and to consolidate our products’ leadership position in their respective reference markets
- Contribute to maintain the already released versions of Datalogic Decoding-Library by analyzing, debugging, and fixing any open defects
- Contribute to migrate to an Agile approach in terms of delivery, allowing all team members to autonomously build and release the Decoding-Library, as well as to continuously integrate it in reference-products’ application software.

Requirements
- Education: Master’s Degree in Computer or Electronic Engineering or Mathematics or Physics
- La

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