AI Engineer, LIGHT

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.

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.

Job:

AI4all, Engineering Disciplines

Organization:

Software Development

Schedule:

Full time

Employee Status:

Regular

Job Type:

Job Posting Date:

2026-03-18