Job
- Level
- Erfahren
- Job Feld
- Data, Embedded
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Eschborn
- Arbeitsmodell
- Onsite
Job Zusammenfassung
In diesem Job entwickelst du moderne neuronale Netze für die Sensorfusion im autonomen Fahren und optimierst Trainingspipelines sowie DNN-Modelle zur Implementierung auf Embedded-Systemen.
Job Technologien
Deine Rolle im Team
- Identify state-of-the-art Deep Neural Network architectures for sensor fusion and end-to-end learning to evaluate applicability for autonomous driving applications.
- Implement efficient DNN training pipelines and optimize DNN models for deployment on embedded platforms with hardware constraints.
- Measure performance of neural networks and iteratively improve functional performance on use-cases.
- Investigate issues in existing algorithm software and improve them by providing guidance for solution.
- Document methods, experiments and results; prepare technical reports and presentations for internal and external stakeholders.
- Curate large-scale datasets to ensure high-quality training and validation.
- Collaborate on deploying trained networks into C/C++ based integration environments for on-vehicle testing.
Unsere Erwartungen an dich
Ausbildung
- Masters Degree in Computer Science, Electrical engineering, Robotics or equivalent.
Qualifikationen
- Strong programming skills in Python along with proficiency in deep learning frameworks like PyTorch or TensorFlow
- Solid foundation in mathematics relevant to Machine Learning and Robotics: Linear Algebra, Probability/Statistics and 3D Geometry
- Knowledge of optimizing models for deployment (Quantization, Pruning, ONNX, TensorRT) is desired
- Comfortable working in Linux-based development environments, with tools such as Git, Docker, ROS2 and CI/CD workflows
- Willingness to learn new technologies based on project needs
- Excellent communication skills and ability to work collaboratively in a multidisciplinary engineering and research team in English
Erfahrung
- 3+ years of experience in developing deep learning models for Autonomous Driving, Computer Vision or Robotics applications
- Hands-on experience in implementing training and evaluation pipelines for multi-modal perception problems like 3D object detection
- Experience with C/C++ for model inference and systems integration is beneficial
Unser Angebot
- You will become an important member of an international company that is strongly focusing on the development of the latest automotive technologies.
- Take on an exciting position that will directly impact the company's direction in the automotive industry.
- Long-term career perspective and promising growth opportunities.
- Flexible work time model that ensures an attractive work-life balance.
- Modern office space with table tennis room, thinking room, and fully equipped meeting rooms.
- Cafeteria area stocked daily with lunch snacks, and fresh fruits; in addition, meal vouchers are given monthly.
- Free secured underground parking lot for bikes and cars.
- Great public transportation options.
- Many corporate benefits including discounts on nearby gym memberships.
- Regular company events, yearly sports competitions and cultural days organized by our DEI Allies team.
- Company pension
Benefits
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Hyundai Motor Company
With over 8 million cars sold per year we are a Global Player - number five in worldwide sales ranking. All over the world, employees are involved in this exceptional success. With our brands HYUNDAI and KIA, we are presently the fastest growing vehicle manufacturer in Europe.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Fahrzeugbau, Zulieferer
Sensor Fusion Deep Learning Engineer
- Ort
- Eschborn
- Arbeitsmodell
- Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
