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

12 Minutes ago • Upto 2 Years

Research Development

Job Description

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. This entry-level role involves working closely with cross-functional teams to integrate deep learning models into embedded systems, optimize performance, and ensure robust deployment in real-world applications.

Good To Have:

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

Must Have:

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)
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
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)

Perks:

Online and offline learning opportunities for career development
Commitment to sustainability
Inclusive work environment
Programs focused on diversity, inclusion and equality

Add these skills to join the top 1% applicants for this job

cross-functional

communication

problem-solving

cpp

game-texts

linux

pytorch

deep-learning

computer-vision

tensorflow

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: