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Sensor Fusion Deep Learning Engineer Intern (m/f/d)
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Sensor Fusion Deep Learning Engineer Intern (m/f/d). Identify state-of-the-art Deep Neural Network architectures for sensor fusion and end-to-end learning to…
5 Tage

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Sensor Fusion Deep Learning Engineer (m/f/d)

Hyundai Mobis -
Eschborn

Jetzt bewerben

Details zur Stelle

vor 5 Tagen

Leistungen

Kostenloser Parkplatz
Firmenevents
Mitgliedschaft im Fitnessstudio

Qualifikationen

Informatik
Master
Elektrotechnik

Vollständige Stellenbeschreibung

To strengthen our European headquarter in Frankfurt am Main, we are currently looking for a

Sensor Fusion Deep Learning Engineer (m/f/d)

About us

MOBIS Parts Europe N.V. is the European branch of Hyundai MOBIS, a worldwide leading supplier of genuine parts and accessories in the field of automotive. Together with Hyundai Motors and Kia Motors, Hyundai MOBIS is one of the biggest companies within the Hyundai group. In addition to research and development of high-tech products for passenger cars, MOBIS Parts Europe N.V. is responsible for the whole aftersales business of genuine parts and accessories for Hyundai Motors and Kia Motors in Europe.

Your profile

Masters Degree in Computer Science, Electrical engineering, Robotics or equivalent.
3+ years of experience in developing deep learning models for Autonomous Driving, Computer Vision or Robotics applications
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
Hands-on experience in implementing training and evaluation pipelines for multi-modal perception problems like 3D object detection
Knowledge of optimizing models for deployment (Quantization, Pruning, ONNX, TensorRT) is desired
Experience with C/C++ for model inference and systems integration is beneficial
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

Your tasks

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.

What we offer you

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

Panna Pertics

Talent Acquisition Partner

Mobis Parts Europe N.V.

Zweigniederlassung Deutschland

Frankfurter Strasse 60-68

65760 Eschborn

Jetzt bewerben

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