Junior AI Application Engineer - Automotive (f/m/d)

Our Team

Our team develops cutting-edge AI solutions for automotive applications, focusing on vehicle compute platforms and ADAS. We specialize in deploying deep learning models on embedded systems, optimizing performance for real-time use, and ensuring robust integration across vehicle domains. We work in a fast-paced, collaborative environment where innovation meets real-world impact.

Your Role

We are seeking a motivated and technically skilled Junior AI Application Engineer - Automotive to join our team. This entry-level role is ideal for recent graduates or early-career professionals passionate about deploying AI models on edge devices. You will work closely with cross-functional teams to integrate deep learning models into embedded systems, optimize performance, and ensure robust deployment in real-world applications.

Your Profile:

• Bachelor’s degree in Computer Science, Electrical/Computer Engineering, Robotics, or a related field
• 0–2 years of relevant experience (internships or academic projects welcome)

Technical Skills:

• Familiarity with deep learning frameworks such as PyTorch and/or TensorFlow
• Knowledge of embedded programming in C and C++
• Understanding of model quantization schemes (e.g., INT8, FP16) and deployment for edge devices
• Strong debugging skills to troubleshoot software, model integration, and runtime issues
• Good understanding of performance optimization and profiling techniques for both CPUs and GPUs

Soft Skills:

• Strong problem-solving mindset and eagerness to learn
• Ability to work effectively in a cross-functional, fast-paced team
• Clear communication skills (written and verbal)

Nice-To-Have (Optional):

• Exposure to ONNX or other model exchange formats
• Familiarity with Linux-based development environments
• Basic understanding of computer vision or signal processing concepts

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