Job Description

Valeo is a tech global company, designing breakthrough solutions to reinvent the mobility. We are an automotive supplier partner to automakers and new mobility actors worldwide. Our vision? Invent a greener and more secured mobility, thanks to solutions focusing on intuitive driving and reducing CO2 emissions. We are leader on our businesses, and recognized as one of the largest global innovative companies.

- 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.

Computer Vision Department

The Computer Vision Department is responsible for developing custom-built state-of-the-art algorithms intrinsically designed to leverage the full power of today's most advanced multi-core automotive embedded platforms. Computer vision functions including 3D object detection, pedestrian and vehicle classification, trajectory mapping, online calibration, lens soiling detection, collision mitigation, lane and park-slot detection, and much more feed into a detailed map of the vehicle's environment via advanced sensor fusion. The department applies state of the art computer vision techniques to the automotive domain; object detection, classification, structure-from-motion, localisation & mapping, and machine & deep learning. The team specialise in redefining state-of-the-art computer vision and delivering next-generation advanced driver-assistance and automated driving systems for leading European, American and Asian OEMs.

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.

Job:

Engineering Disciplines

Organization:

Platform

Schedule:

Full time

Employee Status:

Regular

Job Type:

Permanent contract

Job Posting Date:

2026-03-31

Join Us !
Being part of our team, you will join:
- one of the largest global innovative companies, with more than 20,000 engineers working in Research & Development
- a multi-cultural environment that values diversity and international collaboration
- more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
- a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development

More information on Valeo: https://www.valeo.com