Job
- Level
- Senior
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Chemnitz
- Working Model
- Hybrid, Onsite
Job Summary
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.
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.
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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.
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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.
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Benefits
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
mposition
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.
Description
- Company Type
- Recruiting Agency
- Working Model
- Hybrid, Onsite
- Industry
- Recruitment Agency
Senior AI Developer
- Location
- Chemnitz
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
