Embedded Software Engineer — AI-Driven, Feature‑Centric

Enovates NV

Lokeren

Hybride

EUR 55 000 - 75 000

Plein temps

Il y a 7 heures
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Résumé du poste

Enovates NV seeks an Embedded Software Engineer to work on the full embedded software stack of our chargers. You will write C++ on embedded Linux or bare-metal and Java on embedded Linux, delivering features and automated tests within a cross-functional scrum team.

You will collaborate with hardware, project management and cloud colleagues, shaping architecture with SOLID and hexagonal design while expanding AI-assisted development practices.

Qualifications

  • Bachelor’s or master’s degree in computer science, electronics-ICT, electrical engineering, or equivalent
  • Strong embedded software experience in C++ and/or Java
  • Fluent in Dutch and English
  • Experience with Linux in embedded environments and CI/CD

Responsabilités

  • Design, develop and deliver features for embedded charger software (C++/Java)
  • Work in a cross-functional scrum team to take features from idea to production
  • Translate feature specs into efficient, reusable code
  • Handle unit and integration tests and contribute to automated tests
  • Maintain and improve existing embedded modules
  • Shape software architecture with hexagonal design and SOLID
  • Participate in code reviews and refinements
  • Use AI tools to improve productivity and quality

Connaissances

Embedded software
C++
Java
Python (tests)
Dutch language
English language
Git
CI/CD

Formation

Bachelor’s/Master’s degree in CS/Electronics-ICT/EE

Outils

Buildroot
Yocto
Bitbucket Pipelines
Maven
Jira
Confluence

Description du poste

Enovates NV seeks an Embedded Software Engineer to work on the full embedded software stack of our chargers. You will write C++ on embedded Linux or bare-metal and Java on embedded Linux, delivering features and automated tests within a cross-functional scrum team.

You will collaborate with hardware, project management and cloud colleagues, shaping architecture with SOLID and hexagonal design while expanding AI-assisted development practices.

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