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

BMW AG; München; Vor Ort; EUR 70.000 - 120.000; Vollzeit

Benefits dieser Stelle

Challenging projects

Professional development opportunities

Performance-based remuneration

Job security

Annual special payments

Flexible working hours

Zusammenfassung

BMW Group in München is seeking an experienced AI infrastructure engineer to build and operate HPC/GPU clusters for training, fine-tuning, and inference of large language models. You will integrate frontier models and optimize performance, scalability and reliability in production environments.

The ideal candidate holds a university degree, 3+ years in ML/AI, hands-on PyTorch/DeepSpeed/Megatron-LM, LoRA/QLoRA, RLHF/DPO, Kubernetes, Docker, Linux, and business English; German is desirable.

Qualifikationen

• University degree in Computer Science, Electrical Engineering, or a comparable qualification.
• At least three years of professional experience in ML/AI, AI models, and LLMs.
• Experience in building and operating HPC or GPU-based AI platforms.
• Hands-on with training (PyTorch/DeepSpeed/Megatron-LM), fine-tuning (LoRA/QLoRA, RLHF/DPO), and evaluating large-scale models.
• Distributed training experience and scalable AI infrastructures.
• Production-grade AI platforms, Linux, containerization, and cloud/hybrid infra (Kubernetes, Docker).
• Business-fluent English; German language skills desirable.

Aufgaben

• Build, operate, and evolve HPC and GPU cluster environments for AI applications.
• Provide scalable infrastructure for training, fine-tuning, and inference of AI models.
• Integrate frontier models into development and production environments efficiently.
• Conduct and optimize fine-tuning, alignment, and evaluation to improve model quality.
• Assess model behavior and derive actionable recommendations for improvement.
• Optimize performance, scalability, availability, and resource efficiency of AI infra platforms.
• Support advancement of AI models, training data, and architectures for production adoption.

Kenntnisse

Machine Learning

AI Models

Distributed Training

Linux

Containerization

Cloud/Hybrid Infra

English (Business)

Ausbildung

University degree in Computer Science or related

Tools

PyTorch

DeepSpeed

Megatron-LM

LoRA/QLoRA

RLHF/DPO

Kubernetes

Docker

Jobbeschreibung

Stellenreferenz: 194943

With our brands BMW, MINI, Rolls-Royce and BMW Motorrad, we are among the world's leading premium manufacturers of automobiles and motorcycles, while also providing premium financial and mobility services.

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.

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: fulltime

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).

Find out more about Artificial Intelligence at the BMW Grouphere .

You can find helpful tips on your application and the application processhere .

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 morehere .