Graduate In Training Program (GIT), AI Development (Linux)
Valeo is hiring a Graduate In Training Program (GIT), AI Development (Linux) in Cairo, Egypt. Level rates it ; you can apply on Valeo.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- The posting mentions OpenAI, Llama and PyTorch among its tools and skills.
- Level classes it as a junior role.
- Valeo has 1,000+ other open roles on Level.
AI in this role
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:
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
How we rate this
Graduate In Training Program (GIT), AI Development (Linux) at Valeo rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide that one model's output is better than another's for a given task?
- What have you built with speech recognition or text-to-speech, and where did it break?
- What are the limits of OpenAI that you've run into, and how did you work around them?
- What's a project where you used Llama hands-on?
- Walk me through how you've used PyTorch in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: AI Evaluation, Speech, OpenAI, Llama, and PyTorch. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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