Sr Software Engineer - ML CV (11001)

About the Role

Key Responsibilities

• Design and implement novel machine learning and deep learning algorithms in Python and C++ for real-time part inspection and computer vision tasks, with a strong focus on efficient deployment and interfacing with embedded devices and sensors.
• Prototype, develop, and optimize ML/DL algorithms and models using Python (e.g., TensorFlow, PyTorch), specifically tailoring them for high performance and efficiency within resource-constrained embedded environments.
• Establish and maintain comprehensive software development, testing, and validation pipelines for solutions deployed on embedded platforms, ensuring reliability and performance across diverse hardware configurations.
• Lead the design and development of software solutions to transform ML/DL research and prototypes into practical, deployable systems using modern C++ and Python development practices, emphasizing modularity, scalability, and maintainability for embedded system integration.
• Collaborate with hardware and systems engineers to define software requirements, design system architectures for embedded solutions, and ensure seamless integration of software with physical devices and control systems.
• Contribute to Datalogic's intellectual property portfolio through patent filings, particularly for innovative software designs, embedded control algorithms, and efficient data interface mechanisms.
• Mentor and guide interns and junior engineers in software development best practices (including Python and C++), embedded systems programming, and techniques for interfacing with hardware.

Requirements

• Master's degree in Computer Science or a related field or Bachelor's Degree in Computer Science/related field with work experience in R&D.
• 5-10 years of hands-on experience in developing and deploying machine learning and deep learning systems, ideally with a focus on computer vision applications such as object recognition.
• Proficiency in computer vision techniques, including object recognition, image segmentation, and feature extraction.
• Expertise in deep learning frameworks such as TensorFlow or PyTorch.
• Strong mathematical and analytical skills, coupled with exceptional programming skills in Python and C/C++.
• Experience with Docker, REST API, git or other version control systems.
• Demonstrated ability to design and implement efficient software solutions.
• A proactive, self-starter attitude, thriving in a fast-paced, innovation-driven environment.

Nice to Have

• Ph.D. in Computer Science, Computer Vision, Machine Learning, or Deep Learning.
• Publications in conferences or journals.
• Experience with cloud computing platforms (e.g., AWS, Azure, GCP).
• Contributions to open-source machine learning projects.