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Software engineer - embedded systems and ai/ml

Torino
eGlue Technologies
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Pubblicato il 1 luglio
Descrizione

Software Engineer - Embedded Systems and AI/ML

Join to apply for the Software Engineer - Embedded Systems and AI/ML role at eGlue Technologies.


About eGlue Technologies

Established in Turin in 2008, eGlue Technologies specializes in embedded software development, cloud computing, and machine learning. We support industrial and automotive clients from project inception to final product release, evolving from Linux-based embedded software for connected vehicles to cloud solutions for big data analytics. We adopt Agile methodologies to ensure flexibility and iterative development across projects.


Job Description

We are seeking a Software Engineer with expertise in Embedded Systems and AI/ML to join our team. You will contribute to designing and developing software for embedded devices in the IoT/Automotive sectors. Your role involves working throughout the software development lifecycle, collaborating with cross-functional teams, and focusing on:

* Developing middleware on Linux-based embedded systems to manage updates, application lifecycle, security, and hardware abstraction.
* Implementing 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.
* Integrating and deploying AI/ML models on edge devices to improve system intelligence and responsiveness.


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.


Nice to Have

* Experience with the Yocto Project for embedded Linux development.
* Knowledge of automotive standards and protocols (e.g., CAN, UDS).
* Familiarity with hardware accelerators like GPUs or TPUs for AI/ML.
* Understanding cybersecurity principles in embedded systems.


Additional Information

Languages: English, Italian (B2+).

Work Model: Hybrid.

Internship opportunities are also considered.


Job Details

* Seniority Level: Not Applicable
* Employment Type: Full-time
* Industries: Software Development, Embedded Software, Automotive
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