Senior AI Infrastructure & Frontier Model Engineer

• 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., * 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.
• Many other benefits at bmw.jobs/benefits

• University degree in Computer Science, Electrical Engineering, or a comparable qualification.
• 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.
• Business-fluent English language skills; German language skills are desirable.

Are you excited about building powerful AI platforms and advancing cutting-edge models for the production applications of tomorrow? Apply now!

Pulled from the full job description

• Flexible schedule