BMW Group
Senior Embedded AI Developer(m/w/x)
Full-timeOn-siteSenior
München
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BMBMW Group
Senior Machine Learning Engineer - Simulation & GenAI(m/w/x)
München
Full-timeOn-siteSenior
AI/ML
Data Science
Nejo AI Summary
AI-based 3D reconstruction of driving scenes, evaluating GenAI models for simulation enhancement in automotive virtual development. Hands-on expertise in quantization, model compression, or experiment design essential. Six weeks annual leave, profit sharing.
Requirements
- University degree in Computer Science, Data Science, AI, Mathematics, Physics, or comparable qualifications
- Several years of experience in ML Engineering or MLOps
- Ideal hands-on expertise in quantization, model compression, experiment design, ablations, data quality, metrics & evaluation, or architecture optimization
- Deep understanding of modern AI model architectures, training pipelines, distributed learning, and GPU optimization
- Confidence working with synthetic data, augmentation strategies, and data-driven model downsizing
- Engineering skills: Python (plus C++/Rust), CUDA, API design, testing, debugging across the stack, Git
- Knowledge in 3D authoring tools like Blender, glTF, Unreal, RoadRunner (plus)
- Knowledge in 3D scene creation or algorithmic 3D reconstruction (plus)
Tasks
- Perform AI-based 3D reconstruction of driving scenes.
- Develop AI models for intelligent traffic participants.
- Evaluate and select GenAI models for simulation enhancement.
- Design scalable training and MLOps infrastructure.
- Operate scalable training and MLOps infrastructure.
- Implement distributed training solutions.
- Build automated evaluation pipelines.
- Optimize cloud and on-prem compute usage.
- Optimize GPU toolchain, scheduling, and profiling.
- Manage GPU resource allocation.
- Contribute to driver assistance system simulation.
- Evaluate simulation quality.
- Assess toolchain and model behavior.
- Collaborate with interdisciplinary engineering teams.
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- C++
- Rust
- CUDA
- Git
- Blender
- glTF
- Unreal
- RoadRunner
- GPU
Benefits
Bonuses & Incentives
- Christmas bonus
- Profit sharing
Flexible Working
- Flexible working hours
More Vacation Days
- Six weeks annual leave
Competitive Pay
- Overtime compensation
Learning & Development
- Personal development opportunities
- Professional development opportunities
Job Security
- Job security
Corporate Discounts
- Discounted BMW & MINI conditions
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of BMW Group and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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BMBMW Group
Senior Machine Learning Engineer - Simulation & GenAI(m/w/x)
München
Full-timeOn-siteSenior
AI/ML
Data Science
Nejo AI Summary
AI-based 3D reconstruction of driving scenes, evaluating GenAI models for simulation enhancement in automotive virtual development. Hands-on expertise in quantization, model compression, or experiment design essential. Six weeks annual leave, profit sharing.
Requirements
- University degree in Computer Science, Data Science, AI, Mathematics, Physics, or comparable qualifications
- Several years of experience in ML Engineering or MLOps
- Ideal hands-on expertise in quantization, model compression, experiment design, ablations, data quality, metrics & evaluation, or architecture optimization
- Deep understanding of modern AI model architectures, training pipelines, distributed learning, and GPU optimization
- Confidence working with synthetic data, augmentation strategies, and data-driven model downsizing
- Engineering skills: Python (plus C++/Rust), CUDA, API design, testing, debugging across the stack, Git
- Knowledge in 3D authoring tools like Blender, glTF, Unreal, RoadRunner (plus)
- Knowledge in 3D scene creation or algorithmic 3D reconstruction (plus)
Tasks
- Perform AI-based 3D reconstruction of driving scenes.
- Develop AI models for intelligent traffic participants.
- Evaluate and select GenAI models for simulation enhancement.
- Design scalable training and MLOps infrastructure.
- Operate scalable training and MLOps infrastructure.
- Implement distributed training solutions.
- Build automated evaluation pipelines.
- Optimize cloud and on-prem compute usage.
- Optimize GPU toolchain, scheduling, and profiling.
- Manage GPU resource allocation.
- Contribute to driver assistance system simulation.
- Evaluate simulation quality.
- Assess toolchain and model behavior.
- Collaborate with interdisciplinary engineering teams.
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- C++
- Rust
- CUDA
- Git
- Blender
- glTF
- Unreal
- RoadRunner
- GPU
Benefits
Bonuses & Incentives
- Christmas bonus
- Profit sharing
Flexible Working
- Flexible working hours
More Vacation Days
- Six weeks annual leave
Competitive Pay
- Overtime compensation
Learning & Development
- Personal development opportunities
- Professional development opportunities
Job Security
- Job security
Corporate Discounts
- Discounted BMW & MINI conditions
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of BMW Group and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
BMW Group
Industry
Automotive
Description
Das Unternehmen bietet spannende Praktika im Bereich Markenerlebnis und Eventmanagement und legt großen Wert auf Gleichbehandlung und Chancengleichheit.
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