Algorithm Engineer

Datalogic; Calderara di Reno; In loco; EUR 35.000 - 55.000; Tempo pieno

Descrizione del lavoro

A leading technology company seeks an Algorithm Engineer to join their Decoding Software team. This role focuses on developing proprietary algorithms for barcode reading, working on advanced image processing, and contributing to innovative software solutions. Ideal candidates will have a Master's in a relevant field and strong C/C++ skills.

Competenze

• Master's degree in relevant field is required.
• Good knowledge of C/C++ is essential.
• Experience with debugging and profiling tools necessary.

Mansioni

• Develop software libraries for multi-threaded signal/image processing.
• Research and develop next-gen decoding algorithms.
• Maintain and improve existing versions of decoding library.

Conoscenze

C/C++ programming

Signal/image-processing algorithms design

Debugging and profiling tools

Image-processing acceleration

DevOps tools knowledge

Formazione

Master’s Degree in Computer or Electronic Engineering, Mathematics, or Physics

Strumenti

Git

Docker

Jenkins

Descrizione del lavoro

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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. Monochrome or color pictures of codes and text are captured by cameras embedded into Datalogic scanners and their resolution, contrast, SNR, background clutter and other image-quality parameters strongly depend on the specific use case. 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.

Main duties and responsibilities of an Algorithm Engineer part of the Decoding Software team are:

• 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 integrate brand new machine-learning-based algorithms in the current architecture of Datalogic Decoding-Library (dedicated to 1D and 2D code reading)
• 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
• Languages: Italian and English (intermediate or better level)
• Specific Knowledge and experience:

- Good knowledge of C/C++ programming language;

- Hands-on experience with debugging, profiling, and code analysis tools;

- Hands-on experience in analysis, understanding and optimization/refactoring of existing code;

- Hands-on experience in design of signal/image-processing algorithms;

- Hands-on experience in image-processing acceleration (through openMP, FPGAs, GPUs, SIMD coprocessors or Neural Network Inference accelerators) is highly preferred;

- Knowledge of DevOps tools (Git, Docker, and Jenkins) and CI/CD principles is highly preferred.