Job
- Level
- Senior
- Job Field
- Data, Embedded
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Munich
- Working Model
- Onsite
Job Summary
In this role, you develop ML models for automotive systems, optimize them for embedded platforms, and implement cutting-edge techniques to enhance efficiency in deployment.
Your role in the team
- You own the full lifecycle of machine learning models - from initial concept and experimentation through training and validation to reliable deployment on production-grade automotive systems.
- Furthermore, you optimise AI models for embedded platforms, driving performance analysis and benchmarking, as well as runtime, compute, and memory efficiency on next-generation edge hardware.
- You apply state-of-the-art compression techniques (quantisation, pruning, distillation, sparsity) to enable high-performance AI under strict real-time, energy, and hardware constraints.
- Additionally, you collaborate closely with software, machine learning, and semiconductor specialists to advance hardware/software co-design, ensuring functional correctness, safety, and deterministic real-time behaviour.
- You stay abreast of cutting-edge machine learning research and selectively translate promising developments into robust, scalable industrial applications on advanced automotive hardware.
- You design and operate scalable, MLOps-driven optimisation pipelines, enabling training, deployment, and inference across diverse embedded targets and accelerator architectures.
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Our expectations of you
Education
- University degree in electrical engineering, computer science, data science, artificial intelligence, mathematics, physics, or a comparable qualification.
Qualifications
- Strong expertise in embedded AI, particularly in neural network architectures, quantisation, hardware- and quantisation-aware training, as well as deployment formats and cross-platform portability.
- In-depth expert knowledge of hardware/software co-design for ML systems, including cross-layer optimisation, architecture search, benchmarking, and the design of neural accelerators.
- Proven success in transferring ML models from research or prototype phases into productive, value-creating applications on embedded targets.
- Comprehensive expertise in modern machine learning methods, including deep learning, multimodal models, end-to-end learning, and transformer architectures, combined with a realistic understanding of their practical limitations.
- Very good English skills, both written and spoken, for working in an international environment; German skills are desirable and an advantage.
Experience
- Extensive professional experience in the development, implementation, and operation of AI/ML models in an industrial or commercial environment.
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What we offer
- Challenging projects with which we are shaping the mobility of tomorrow together.
- Wide range of personal and professional development opportunities.
- Attractive, fair, and performance-related remuneration.
- High level of job security.
- Annual special payments such as vacation pay, Christmas bonus, and profit sharing.
- Flexible working hours including 6 weeks annual leave and overtime compensation.
- Discounted BMW & MINI conditions.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Topics that you deal with on the job
Job Locations
This is your employer
BMW AG
Our world-leading premium automotive brands BMW, MINI, Rolls-Royce and our motorcycles, along with our comprehensive range of high-quality financial and mobility services make us a unique provider.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Vehicle Manufacturing, Supplier, Industry, Production
Dev Reviews
by devworkplaces.com
Total
(2 Reviews)3.1
Career Growth
3.1Engineering
2.3Culture
3.1Workingconditions
4.1
Senior Embedded AI Developer
- Location
- Munich
- Working Model
- Onsite
- Diversity
- Open for all genders
