Aumovio
Technology
MasterThesis-OptimizingSparse3DOccupancyPredictionforEmbeddedDevices
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optimal for internship candidates.
“Master Thesis - Optimizing Sparse 3D Occupancy Prediction for Embedded Devices at Aumovio. Skills: 3D Occupancy Prediction, Embedded Devices, Runtime Optimization, Deep Learning. Sparsify CNN architectures. Prune CNN architectures”
Industry & Context.
Analytical thinking; Problem-solving skills
What They're Looking For.
Must Have
Programming skills in Python, Fluent English language skills
Nice to Have
Experience in 3D perception, Exposure to multihead attention, Experience with deep learning, Experience training architectures, Experience optimizing architectures, Worked with Docker, Worked with PyTorch, Worked with OOP, Worked with Git, Research/software engineering experience, Consider a future in research, Pursuing a PhD
What You'll Do.
Sparsify CNN architectures
Prune CNN architectures
Quantize CNN architectures
Sparsify transformer architectures
Prune transformer architectures
Quantize transformer architectures
Design training algorithms
Implement training algorithms
Summarize research findings
How You'll Work.
Team & Collaboration
Work with supervisor; Work with specialists; Work with PhDs; Share technical topics
Full Job Description
Since its spin-off in September 2025 AUMOVIO continues the business of the former Continental group sector Automotive as an independent company. The technology and electronics company offers a wide-ranging portfolio that makes mobility safe, exciting, connected, and autonomous. This includes sensor solutions, displays, braking and comfort systems as well as comprehensive expertise in software, architecture platforms, and assistance systems for software-defined vehicles. In the fiscal year 2024 the business areas, which now belong to AUMOVIO, generated sales of 19.6 billion Euro. The company is headquartered in Frankfurt, Germany and has about 87.000 employees in more than 100 locations worldwide. Hey, you are looking for an exciting thesis and would like to gain valuable insights into the field of 3D Semantic Occupancy Prediction for Embedded Devices? Then we have just the thing for you! We are looking for you starting in February for a period of 6 months to support us in our AI laboratory in Berlin. We will need you mostly on site in Berlin. But we also understand that there are days when you'd rather work from home. Therefore, together we find a solution that suits us all - remote working hours are therefore possible in consultation with your supervisor. The following tasks are to be processed in this Master's thesis: * You will actively work on sparsifying, pruning and quantizing CNN and transformer-based architectures for autonomous driving * Design, implement, and evaluate models and training algorithms for runtime optimized 3D semantic occupancy predictions * Summarize research findings in a paper/ master thesis and/or patent submission While not mandatory, this position is particularly well-suited for students who are considering a future in research or pursuing a PhD. ## Qualifications Are you wondering whether you are suitable for the thesis in the field of lightweight 3D Occupancy Prediction? Here are key qualifications we are looking for: * You study in t
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