Job Description Summary - Young Talent Accelerator Program
Are you ready to kick‑start your career in the automotive industry? Are you a recent graduate or about to graduate and are eager to dive into a dynamic career with boundless opportunities? Then this tailor‑made opportunity is calling for you!
At Valeo, we are looking for ambitious talents (up to 2 years after graduation) who want to grow fast, take responsibility early, and shape the future of mobility. Join our 2 years international Young Talent Accelerator Program and start to build your promising career from now!
As part of the Discipline Engineering team, the Discipline Junior Engineer applies their developing technical skills to support the execution of engineering projects. They work under the guidance of more senior engineers, focusing on applying established design processes and contributing to the efficient delivery of high‑quality solutions that align with the Group's Discipline practices and strategic objectives. This particular position is to work in the Computer Vision Department, specifically as a Deep Learning Research Engineer.
Position Overview
As a deep learning engineer, you will be responsible for the development of deep learning solutions enabling the next generation Automated Driving Platforms. Deep learning will be applied to classify all objects, road markings and surfaces in the vehicle environment. You will be responsible for the development of state‑of‑the‑art DL algorithms providing unprecedented scene understanding. You will be expected to remain abreast of technological developments in the rapidly expanding field of deep learning and its application in automotive.
Responsibilities
Deep Learning network development and training
Select appropriate datasets and data representation methods
Work with data engineers and analysts to ensure optimal data acquisition, data integrity and data pipelines
Perform statistical analysis and fine‑tuning using test results
Develop and maintain a relationship with university counterparts
Required Technical Attributes
Degree in any relevant discipline, with a focus on deep/machine learning
Understanding of fundamental computer vision algorithms and approaches, with a focus on machine learning
Desired Technical Attributes
Understanding of data structures, data modeling and software architecture
Proficiency with Python, machine learning frameworks (Keras or PyTorch) and libraries (like scikit‑learn)
Proficiency with OpenCV
Familiarity with Linux
Experience developing software for embedded platforms
Experience with version control software
Experience with imaging or optics systems
Your Profile
Be an EU citizen
Be fluent in English
Be graduated – or about to be – from a master (or Bachelor) Degree from a Technical university – max. up to 2 years after graduation
Have a short experience abroad – working or study
Have a previous experience during / after studies relevant to this position
Excellent communication skills, ability to communicate complex technical issues in English to different audiences in both written and verbal forms, e.g. reports, specifications, presentations
Strong team player with a collaborative mindset
Outstanding analytical and problem‑solving skills
High level of innovation and motivation
Ability to take input from others
Eager to progress within a diverse and multicultural environment
Capable of autonomous decision making
Why to apply?
Your Journey During The Young Talent Accelerator Program
Unlimited Valeo contract from day one: Secure your professional future with an unlimited contract from the start.
Diverse Assignments & Interdisciplinary Projects: Undertake 4 x 6 months assignment over 2 years (starting between August and October 2026)
International Exposure: Experience job rotations across different departments and international sites (Tuam in Ireland, Prague in Czechia and Wemding in Germany)
Tailored Development & continuous feedback loop: Benefit from an Individual Program Plan, ensuring personalized growth and development.
Continuous Support: Enjoy regular check‑in talks, pulse 360° surveys for feedback collection, and iterative improvements based on your input.
Leadership Exposure: Network and gain exposure to Valeo leaders, opening doors to invaluable insights and opportunities.
Mentorship: Receive dedicated mentorship from senior experienced leaders throughout the entire program to guide you on your professional journey.
Craft promising career with Valeo: After the 4 assignments this program opens the door for you to get absorbed in various functions, as per your demonstrated competencies and career aspirations and put you on a faster career track.
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