Job
- Level
- Senior
- Job Field
- IT, Data, DevOps
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Munich
- Working Model
- Onsite
Job Summary
In this role, you will develop scalable HPC and GPU infrastructures for training and optimizing modern AI models, efficiently integrating new models into production environments.
Job Technologies
Your role in the team
- Our team is shaping the next generation of AI platforms that power advanced models and scalable production applications.
- By combining deep expertise in infrastructure, high-performance computing (HPC), and large language models (LLMs) with modern training, fine-tuning, and optimization techniques, we continuously drive the development of cutting-edge AI capabilities.
- You build, operate, and continuously evolve HPC and GPU cluster environments that enable state-of-the-art AI applications.
- You provide scalable infrastructure for training, fine-tuning, and inference of advanced AI models.
- You integrate new foundation and frontier models into existing development and production environments in a targeted and efficient manner.
- By conducting and optimizing fine-tuning, alignment, and evaluation processes, you contribute to the continuous improvement of model quality.
- Based on your analyses, you assess model behavior, identify weaknesses, and derive actionable recommendations for improvement.
- You optimize the performance, scalability, availability, and resource efficiency of AI infrastructure platforms.
- With your expertise, you support the advancement of AI models, training datasets, and model architectures while enabling the successful adoption of emerging AI technologies in production environments.
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Our expectations of you
Education
- University degree in Computer Science, Electrical Engineering, or a comparable qualification.
Qualifications
- Business-fluent English language skills; German language skills are desirable.
Experience
- At least three years of professional experience in Machine Learning, Artificial Intelligence, AI Models, and Large Language Models.
- Experience in building and operating HPC or GPU-based computing platforms for AI workloads.
- Hands-on experience with AI models, particularly in training (e.g., PyTorch, DeepSpeed, Megatron-LM), fine-tuning (e.g., LoRA/QLoRA, RLHF/DPO), and evaluating large-scale AI models.
- Practical experience with distributed training approaches and scalable AI infrastructures.
- Experience operating production-grade AI platforms for research and development, as well as working with Linux, containerized environments, and cloud or hybrid infrastructures (e.g., Kubernetes, Docker).
- Ideally, experience working with frontier models and modern open-weight models.
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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.
- Attraktive, faire und leistungsbezogene Vergütung.
- Hoher Grad an Jobsicherheit.
- Annual special payments such as vacation pay, Christmas bonus, and profit sharing.
- Flexible working hours including 6 weeks of annual leave and overtime compensation.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Food & Drink
Topics You Will Work On
Job Locations
About 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
Employer reviews
by devworkplaces.com
Total
(2 Reviews)3.1
Career Growth
3.1Engineering
2.3Culture
3.1Workingconditions
4.1
Senior AI Infrastructure & Frontier Model Engineer
- Location
- Munich
- Working Model
- Onsite
- Diversity
- Open for all genders
