ML Engineer

Machine Learning Engineer – ADAS

Location: Ingolstadt, Germany

Type: Contract 6+ months |About the Role

Join a leading semiconducotr compnay in automotive innovation. Our client has rapidly become a trusted technology leader in infotainment and autonomous driving, leveraging their expertise in mobile to disrupt the automotive space. Their Snapdragon platform is powering next-generation cockpit experiences with advanced audio, video, graphics, and AI/ML capabilities.

As an ML Engineer, you’ll work within the Automotive Engineering team, collaborating with global OEMs and Tier 1s from concept to commercialization. This role centers around designing and optimizing ML models for real-time embedded systems, contributing to the future of assisted and autonomous driving.

What You’ll Do

• Support end-to-end development of ML features for ADAS, from prototype to production
• Analyze, debug, and optimize neural networks for embedded SoCs
• Collaborate on the development of robust, real-time ML pipelines for perception tasks
• Use tools and frameworks such as TensorFlow, PyTorch, OpenCV, OpenCL
• Perform model compression, pruning, quantization, and runtime optimization
• Drive system-level integration with embedded platforms (Linux, QNX, Android)
• Contribute to technical design discussions and mentor junior engineers
• Participate in cross-functional efforts with BSP, vision, and safety teams

What You Bring

• Strong software development or application engineering background
• Proficiency in C/C++ and modern scripting (e.g. Python)
• Deep understanding of ML/DL architectures (CNNs, etc.) and computer vision
• Experience with embedded execution of neural networks and system-level optimization
• Solid grasp of matrix operations, quantization, and model transformation
• Experience with debugging and performance tuning of ML pipelines
• Comfortable working with embedded operating systems (Linux, QNX, Android)
• Excellent problem-solving, analytical, and teamwork skills
• Structured working style and ability to lead small project teams

Preferred Skills

• Prior experience with automotive ML, ADAS, or infotainment projects
• Hands-on with ML accelerators and embedded inference engines
• Familiar with MLPerf or similar benchmarking tools
• Experience with data pipelines and real-time video/image processing
• Knowledge of automotive software standards (e.g. ISO 26262, ASPICE) is a plus

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, Electronics, or related field