Senior SW Engineer - L4 Group

Autobrains, a leading AI Company in the Automotive Industry, is expanding! Following recent major design wins with leading global OEMs, we're scaling up our operations and innovation efforts. This is your chance to be part of a groundbreaking company at the forefront of automotive safety and intelligence.

We are looking for passionate individuals who want to make a real impact, working on state-of-the-art AI solutions that save lives and transform the driving experience. Join us in shaping the next generation of automotive technology.

Why Join Us?

• Be at the forefront of autonomous driving innovation.
• Work in a dynamic, collaborative environment with cutting-edge tools and technologies.
• Grow your career with opportunities for learning and development.
• Enjoy a supportive workplace that values creativity and impact.

As part of Autobrains’ L4 R&D group, you'll contribute to the future of autonomous driving by:

• Collaborating with algorithm developers, machine learning engineers, and data scientists to integrate deep learning models into ROS-based real-time autonomous vehicle systems.
• Writing highly optimized, scalable, and reliable code for automotive processors to improve response times and resource usage.
• Developing and refining closed-loop control modules that send driving commands to the vehicle.
• Staying informed about advancements in autonomous driving, machine learning, and control algorithms.

Required Skills:

• B.Sc. in Computer Science, Software Engineering, or a related field (or equivalent experience). M.Sc. is a plus.
• 5+ years of hands-on experience in C/C++ and Python.
• 3+ years of experience optimizing, converting, and integrating convolutional neural networks for SoCs or real-time systems (TensorRT experience is a major advantage).
• Strong understanding of vehicle dynamics and control systems.
• Proficiency in Linux environments and experience with ROS (major advantage).
• Experience with GitHub and Docker.

Preferred Experience:

• Familiarity with cloud computing platforms (AWS, Azure, GCP) for simulation scalability.
• Background in building scalable machine learning pipelines.

• Strong analytical and problem-solving abilities to handle complex challenges.
• Team player with excellent communication and collaboration skills.