Job
- Level
- Senior
- Job Feld
- IT, Data, DevOps
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- München
- Arbeitsmodell
- Onsite
Job Zusammenfassung
In dieser Position entwickelst du skalierbare HPC- und GPU-Infrastrukturen für das Training und die Optimierung moderner KI-Modelle und integrierst neue Modelle effizient in Produktionsumgebungen.
Job Technologien
Deine Rolle im 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.
Unsere Erwartungen an dich
Ausbildung
- University degree in Computer Science, Electrical Engineering, or a comparable qualification.
Qualifikationen
- Business-fluent English language skills; German language skills are desirable.
Erfahrung
- 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.
Unser Angebot
- 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.
Benefits
Work-Life-Integration
Gesundheit, Fitness & Fun
Essen & Trinken
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
BMW AG
Weltweit führend in der Premium-Klasse: Ob Automobile, Motorräder oder Finanz- und Mobilitätsdienstleistungen - die Marken BMW, MINI, Rolls-Royce und BMW Motorrad stehen für höchste Qualität.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Fahrzeugbau, Zulieferer, Industrie, Produktion
Arbeitgeber-Reviews
von devworkplaces.com
Gesamt
(2 Bewertungen)3.1
Career Growth
3.1Engineering
2.3Culture
3.1Workingconditions
4.1
Senior AI Infrastructure & Frontier Model Engineer
- Ort
- München
- Arbeitsmodell
- Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
