Job
In this role, you will configure embedded software for driver assistance systems, develop and optimize deep learning models on GPU clusters and in Azure Cloud for ADAS features.
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Job technologies
Your role in the team
- Configuration and integration of embedded software for driver assistance systems.
- Development and customization of, for example, deep learning models for ADAS functions based on vehicle sensor data.
- Selecting suitable network architectures such as CNN, RNN, Transformer, GAN, or BEV.
- Training and optimizing models on a GPU cluster as well as in the Azure Cloud.
- Conducting performance analyses, hyperparameter tuning, and quality assessments.
- Optimizing networks for deployment on vehicle control units in terms of runtime, memory, and robustness.
- Close coordination with functional developers, software architects, and cloud teams along the entire ADAS data chain.
- Sharing AI expertise with colleagues through coaching, reviews, and internal training.
Our expectations of you
Education
- Completed engineering degree in Technical Informatics/Electrical Engineering/Embedded Systems or a comparable field of study.
Qualifications
- Excellent knowledge of Python.
- Proficient in Keras, TensorFlow, PyTorch, and JAX.
- Solid understanding of training and optimization methods, particularly SGD variants and adaptive optimizers.
- Practical experience in using Azure for training, data management, and experiment administration.
- Confident handling of Git, code reviews, testing, and clean software engineering.
- Ability to clearly communicate AI expertise and provide professional support to colleagues.
- Structured working method.
- Good German and English language skills, both written and spoken.
Experience
- Extensive experience with modern network architectures such as CNN, RNN, Transformer, GAN, and BEV.
- Experience in training deep learning models on GPU systems as well as in multi-GPU environments.
What we offer
- Flexible working hours and home office options.
- Annual target agreements as well as interim review discussions.
- 30 days of annual leave.
- Asset-building benefits & subsidy for retirement provision.
- Profit sharing through bonus scheme.
- Subsidized lunch.
- E-charging stations & childcare subsidy.
- Diverse opportunities for further training and development prospects.
- Health program and employee events.
Benefits
Work-Life-Integration
Topics you will work on
Job locations
More about the recruiting agency
mposition GmbH, a privately-owned recruitment consultancy based in Hamburg, Germany, provides support to companies in the German-speaking region for filling specialist and management positions. This is achieved through active sourcing, executive search, and other recruiting services. Since its establishment in 2008, mposition has established itself as a reliable partner in recruitment consulting.
- Recruiting Agency
- Onsite, Hybrid
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