AI Engineer, LIGHT

Valeo

1-3 Years

Egypt, Cairo

Early Applicant

Posted 4 months ago
Be among the first 10 applicants

Job Description

Responsibilities

Design end-to-end differentiable systems that jointly optimize sensor control, illumination patterns, and perception tasks (detection, segmentation)
Develop domain adaptation techniques enabling synthetic-to-real transfer without retraining.
Implement energy-aware AI models balancing perception quality with power constraints for embedded automotive deployment.
Validate systems through real-world vehicle testing across diverse environmental conditions.
Publish research at top-tier conferences (CVPR, ICCV, NeurIPS) while delivering production-ready solutions.

Qualifications

Bachelor's or Master's degree in Computer Science, Computer Engineering, Data Science, Electrical Engineering, or a related field.
3+ years developing and deploying deep learning and reinforcement learning models
Expert-level deep learning (PyTorch/TensorFlow) with custom architecture design.
Strong background in object detection, semantic segmentation, neural rendering.
Experience with domain adaptation, self-supervised learning, and model optimization for
edge devices.
Familiarity with ROS, simulation environments (CARLA, Applied Intuition, NVIDIA), and 3D
rendering engines.
Experience with automotive perception datasets (nuScenes, Waymo Open, KITTI) and
benchmarks.
Hands-on experience with automotive sensors (cameras, LiDAR, radar, thermal imaging).
Knowledge of closed-loop control integration with neural networks.
Proficiency in Python, C++, and CUDA programming.

More Info

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About Company

Valeo

Job ID: 145191663

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Last Updated: 07-07-2026 11:42:13 AM

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