Job
In this role, you will develop ML models for automated driving, process sensor data, optimize computer vision algorithms, and integrate AI solutions into vehicles to enhance automated driving functions.
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Job technologies
Your role in the team
- ARRK Engineering is part of the international ARRK group of companies and specializes in product development. Within the ARRK group, we implement product developments from virtual development to prototypes and small-series production.
- They utilize sensor, vehicle, and fleet data to develop, validate, and optimize ML/AI solutions for automated driving.
- You design the entire ML lifecycle - from data preparation through training and deployment to production operation - and drive features in computer vision, deep learning, and intelligent vehicle systems.
- You continuously expand your ML expertise and work in a motivated, highly qualified team.
- Development and implementation of machine learning solutions for applications in the field of automated driving and driver assistance systems.
- Analysis and processing of multimodal sensor data from camera, radar, and LiDAR systems.
- Development, training, and optimization of deep learning and computer vision models for perception, scene understanding, and prediction tasks.
- Participation in the evaluation and integration of modern AI technologies such as Foundation Models, Vision-Language Models, Generative AI, and Edge AI.
- Support in the development of sensor fusion, perception, and environment modeling solutions for automated driving functions.
- Conducting technology evaluations, benchmarking, and proof-of-concepts based on current scientific knowledge and state-of-the-art methods.
- Collaboration with software developers, systems engineers, and data scientists to integrate AI solutions into automotive applications.
- Continuous optimization and validation of algorithms concerning performance, robustness, scalability, and real-time capability.
- Active participation in shaping innovative AI topics and future technologies in the field of autonomous mobility.
- Support in innovation projects as well as the transfer of new research approaches into practical applications and customer projects.
- Hybrid work available from home or our office in Unterschleißheim.
Our expectations of you
Education
- Successfully completed studies in Computer Science, Artificial Intelligence, Data Science, Robotics, Mathematics, Physics, or a comparable field.
- Initial practical experience in the field of Machine Learning, Deep Learning, Computer Vision, or AI through internships, research projects, theses, or working student positions.
Qualifications
- Basic understanding of current AI methods and architectures such as computer vision, foundation models, vision transformers, vision-language models, generative AI, or multimodal systems.
- Linux, Git, Docker; modern software development and version control processes.
- Ideally, initial contact with cloud platforms (e.g., Azure, AWS), MLOps, Edge AI, or embedded AI applications.
- Interest in current research trends and state-of-the-art technologies in the fields of Automated Driving, Computer Vision, and Artificial Intelligence.
- Strong analytical thinking skills and the ability to approach complex technical issues in a structured manner.
- High level of initiative, willingness to learn, and motivation to take responsibility and actively drive new topics forward.
- Strong communication skills, team player; good German and English skills.
Experience
- Good Python skills; initial experience in C++, Rust, or SQL is advantageous.
- Experience with AI frameworks/libraries (PyTorch, Hugging Face, TensorFlow, OpenCV, NumPy/Pandas) is desirable.
- Initial experience with camera, radar, or LiDAR data analysis and processing is desirable.
Benefits
Work-Life-Integration
Topics you will work on
Job locations
About your employer
You are creative and passionate about bringing your ideas and skills to the table? Welcome to ARRK. We offer you perspectives, challenging work tasks, independent working as well as an open and respectful environment for all.
- 1967
- Established Company
- Onsite, Hybrid
- Industry, Production
Employer reviews
- Engineering
- 3.4
- Team culture
- 3.5
- Career growth
- 3.2
- Working conditions
- 4.2
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