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Software engineer - embedded systems and ai/ml

Druento
Contratto a tempo indeterminato
eGlue Technologies S.r.l.
Ingegnere informatico
Pubblicato il 13 giugno
Descrizione

Software Engineer - Embedded Systems and AI/ML Join to apply for the Software Engineer - Embedded Systems and AI/ML role at eGlue Technologies. Company Overview: Established in Turin in 2008, eGlue Technologies is a leading company specializing in embedded software development, cloud computing, and machine learning. We support industrial and automotive clients from project inception to final product release. Initially focused on Linux-based embedded software for connected vehicles, we have expanded into cloud services for big data analytics, adopting Agile methodologies for flexible and iterative development. Position Summary: We are seeking a Software Engineer with expertise in Embedded Systems and AI/ML to join our team. You will play a key role in designing and developing software for embedded devices in the IoT/Automotive sector, contributing to robust and efficient solutions throughout the software development lifecycle. Key Responsibilities: Develop middleware on Linux-based embedded systems for managing updates, application lifecycle, security, and hardware abstraction. Implement real-time data collection and processing for Automotive IoT applications such as fleet monitoring, predictive maintenance, drive style estimation, vehicle health monitoring, and road type estimation. Deploy and integrate AI/ML models on edge devices to improve system intelligence and responsiveness. Minimum Requirements: Strong knowledge of C++ and object-oriented programming. Proficiency in Linux OS and shell scripting. Experience with AI/ML frameworks and deploying models on embedded systems. Familiarity with real-time data processing and IoT communication protocols. Problem-solving skills and effective teamwork abilities. Preferred Skills: Experience with the Yocto Project for embedded Linux development. Keen understanding of automotive standards and protocols (e.g., CAN, UDS). Knowledge of hardware accelerators such as GPUs or TPUs for AI/ML. Understanding cybersecurity principles in embedded systems. Additional Information: Languages: English and Italian (B2). Work Model: Hybrid. We are open to considering internships for students. Job Details: Seniority Level: Not Applicable Employment Type: Full-time Industries: Software Development, Embedded Software, Automotive J-18808-Ljbffr

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