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