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.
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:
AI4allOrganization:
Software DevelopmentSchedule:
Full timeEmployee Status:
Apprentice (Fixed Term)Job Type:
Job Posting Date:
2026-05-12Join 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
Skills Required
- Bachelor's degree in Mechatronics, Computer Engineering, Computer Science or related field
- Excellent command of both English and Arabic
- Solid understanding of machine learning algorithms
- Strong proficiency in Python with ML frameworks
- Experience with ASR toolkits and TTS frameworks
- Proficiency with Linux command-line environments
- Experience with C++ fundamentals
- Familiarity with version control and build systems
- Understanding of automotive communication protocols
Valeo US Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Valeo US and has not been reviewed or approved by Valeo US.
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Fair & Transparent Compensation — Fair & Transparent Compensation: Pay is positioned roughly in line with large automotive manufacturers’ ranges, with competitive bases described for engineers, technicians, and select salaried roles.
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Healthcare Strength — Healthcare Strength: Medical coverage uses major carriers such as Blue Cross/Anthem, and premiums are described as reasonable for many roles, alongside core offerings like life insurance and an employee assistance program.
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Retirement Support — Retirement Support: A 401(k) with employer match around 5% is referenced, with structures that have included automatic contributions plus match depending on location and time, and current postings list 401(k) matching as a core benefit.
Valeo US Insights
What We Do
Valeo is an automotive supplier and partner to all automakers worldwide. As a technology company, Valeo proposes innovative products and systems that contribute to the reduction of CO2 emissions and to the development of intuitive driving. In 2020, the Group generated sales of 16.4 billion euros and invested 12% of its original equipment sales in Research and Development. At December 31, 2020, Valeo had 187 plants, 20 research centers, 43 development centers and 15 distribution platforms, and employed 110,300 people in 33 countries worldwide. Valeo is listed on the Paris Stock Exchange.







