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.
Key Responsibilities
As a Graduate Internship Trainee in the VITE R&I Team, you will be actively involved in:
- Design and prototype machine learning models tailored for automotive features.
- Adapt and fine-tune pre-trained large language models (LLMs like GPT, LLaMA) for specific automotive domains.
- Develop end-to-end pipelines that combine Automatic Speech Recognition (ASR), LLM inference, and Text-to-Speech (TTS).
- Benchmark various model architectures and optimize parameters for performance.
- Collaborate on implementing models into proof-of-concept/research projects and integrating prototypes into applications.
- Write, test, and optimize high-performance C++ code for Linux-based systems.
- Contribute to the development of system-level or performance-critical C++ applications.
- Build, configure, and manage projects using CMake or Makefiles, including the integration of third-party libraries.
- Profile, troubleshoot, and optimize applications, focusing on efficient memory usage.
- Thoroughly test deployed features to ensure both quality and reliable performance.
- Document all experiments, findings, and the development process comprehensively.
- Work with middleware teams to define, implement, and integrate services over the automotive Ethernet stack.
Qualifications
Required Skills & Qualifications
- Academic Status: Must be a 2024- 2025 Graduate.
- Educational Background: Bachelor's degree in Mechatronics, Computer Engineering, Computer Science or a closely related field.
- Language Proficiency: Excellent command of both English and Arabic (written and verbal communication is essential). French is a strong plus.
- Solid understanding of supervised and unsupervised machine learning algorithms.
- Strong proficiency in Python, coupled with experience in at least one major ML framework (TensorFlow or PyTorch).
- Experience with ASR toolkits (e.g., OpenAI Whisper, Vosk, Kaldi) and TTS frameworks.
- Basic knowledge of model evaluation metrics and training optimization techniques.
- Ability to understand and apply concepts from recent academic papers or tutorials.
- Proficiency with Linux command-line environments (bash, ssh, editors).
- Experience with C++ fundamentals: understanding of pointers, memory management, and multithreading concepts.
- Familiarity with version control (Git) and build systems (CMake, Make).
- Understanding or coursework in automotive communication protocols like SOME/IP, MQTT, and protobuf.
- Strong analytical mindset and the ability to translate abstract user requirements into clear technical specifications.
- Comfortable working in an agile, office-based prototyping environment, capable of rapid feature iteration.
- Preferred (Plus): Experience with network packet capture and analysis tools (e.g., tcpdump, Wireshark).
- Preferred (Plus): Experience with RTMaps.
Program Details
Status: Full time.
Location: On-site.
Job:
AI4all
Organization:
Software Development
Schedule:
Full time
Employee Status:
Apprentice (Fixed Term)
Job Type:
Job Posting Date:
2026-05-12
*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