Graduate Embedded AI Engineer: Edge ML Deployment

Valeo; Tuam; On-site; EUR 32,000 - 52,000; Full time

Job summary

Valeo's Tuam-based team is seeking a Graduate Embedded AI Engineer to work on deployment, integration and validation of AI/ML models on embedded and edge platforms. You will apply software engineering, deep learning and embedded-system fundamentals under guidance from experienced engineers to build production-ready AI solutions.

The role emphasizes building solid technical foundations, learning new tools, and contributing to real-world projects.

Qualifications

• Honours Bachelor's degree or equivalent in a technical discipline.
• Master's degree beneficial but not required.
• Recent graduates welcome with up to 1 year post-graduation experience.
• Strong fundamentals in software engineering and ML concepts.

Responsibilities

• Assist in deploying and validating AI/ML models on embedded/edge platforms.
• Develop software components using C/C++ and Python.
• Test, benchmark and optimise AI solutions for target hardware.
• Build tests and automation scripts for integration.
• Collaborate with senior engineers and stakeholders.

Skills

C/C++

Python

Linux

Git

AI/ML concepts

Embedded systems

Problem solving

Communication

Willingness to learn

Education

Bachelor's degree in CS/EE/CE

Master's degree preferred

Tools

Docker

CMake

Git

Job description

Valeo's Tuam-based team is seeking a Graduate Embedded AI Engineer to work on deployment, integration and validation of AI/ML models on embedded and edge platforms. You will apply software engineering, deep learning and embedded-system fundamentals under guidance from experienced engineers to build production-ready AI solutions.

The role emphasizes building solid technical foundations, learning new tools, and contributing to real-world projects.