Perception Machine Learning Engineering

Description

Who we are:

The EDAG Group is a globally leading, independent engineering services provider that combines excellent engineering with the latest technology trends.

With a global network of some 60 branches, the EDAG Group realizes projects in the Vehicle Engineering, Electrics/Electronics and Production Solutions segments. Drawing on more than 50 years of engineering experience, EDAG's proprietary 360-degree development approach has become a hallmark of quality in the holistic development of vehicles and smart factories. The company's interdisciplinary expertise in the areas of software and digitization provides it with crucial skills to actively shape dynamic transformation processes as an innovative partner.

With an interdisciplinary team of around 8,600 experts, the EDAG Group develops unique mobility and industrial solutions for customers that include the world's leading automotive and non-automotive companies. The company is listed on the stock exchange since 2015 and generated revenues of € 796 million in 2022.

This is how you will grow:

• Develop and optimize perception algorithms for Level 2/3 autonomous driving systems using camera and LiDAR data.
• Design and implement cutting-edge deep learning algorithms for 2D/3D object detection, segmentation, tracking, and multi-task learning.
•  Research and integrate BEV-based transformer models for perception tasks.
•  Collaborate with cross-functional teams to ensure seamless integration and robust implementation.
• Test, release, and deploy perception algorithms into Lucid production programs.
• Support the validation and verification of perception algorithms using prototype and pre-production vehicles.
• Propose innovative software algorithms to enhance future autonomous driving capabilities.

Requirements

This is how you will take us forward:

• Strong theoretical foundations and expertise in deep learning algorithms, including object detection, tracking, and segmentation.
• Proficient in Python with a focus on clean, efficient, and scalable software development.
• Comfortable working with large codebases and debugging complex machine learning models.
• Experience with PyTorch or other ML frameworks (e.g., TensorFlow, MXNet).
• Ability to design and construct evaluation pipelines to unit-test ML models under diverse conditions and environments.
• Excellent communication skills and a strong team player.
• Bachelor’s degree in Computer Engineering, Electrical Engineering, Automotive Engineering, Mechanical Engineering, or a related field.
• Minimum of 3 years of relevant work experience, or a Ph.D. in a related field for a senior position.
• Advanced degrees are preferred.