Graduate In Training Program (GIT), AI Development (Linux)

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.

Disclaimer: The successful candidate will be hired as a contractor and will be part of the VITE R&I Team at Valeo