Senior AI Infrastructure & Frontier Model Engineer (f/m/x)

BMW Group; München; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Vacation pay

Christmas bonus

Profit sharing

Flexible hours

6 weeks leave

Overtime pay

BMW/MINI discount

Zusammenfassung

BMW Group in Germany is seeking a Senior AI Infrastructure & Frontier Model Engineer to build, operate, and evolve HPC/GPU clusters that enable state-of-the-art AI applications across training, fine-tuning, and inference.

You will integrate frontier models into existing environments, optimize performance and resource efficiency, and push improvements in model quality through rigorous evaluation and distributed training. Excellent English is required; German is a plus.

Qualifikationen

• 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.

Aufgaben

• Build, operate, and evolve HPC and GPU cluster environments for state-of-the-art AI applications.
• Provide scalable infrastructure for training, fine-tuning, and inference of advanced AI models.
• Integrate foundation and frontier models into existing development and production environments.
• Conduct and optimize fine-tuning, alignment, and evaluation to improve model quality.
• Assess model behavior, identify weaknesses, and derive actionable recommendations.
• Optimize performance, scalability, availability, and resource efficiency of AI infrastructure platforms.
• Support advancement of AI models, training datasets, and model architectures while enabling adoption of emerging AI technologies in production environments.

Kenntnisse

ML/AI experience

HPC/GPU platforms

Ausbildung

University degree in Computer Science or Electrical Engineering

Tools

PyTorch

DeepSpeed

Megatron-LM

LoRA/QLoRA

RLHF/DPO

Kubernetes

Docker

Linux

Jobbeschreibung

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.

What awaits you?

• 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.

What should you bring along?

• 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?

Find out more about Artificial Intelligence at the BMW Group here.

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.
• Many other benefits at bmw.jobs/benefits

Start date: from now on

Working hours: Full-time

If you apply, the next stages of the recruiting process include online testing and an interview with the hiring manager (either virtual or in person).

You can find helpful tips on your application and the application process here.

At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants.

Learn more here.

Senior AI Infrastructure & Frontier Model Engineer (f/m/x)