BMW AG
80809 München - Deutschland
Informatiker/in
Arbeit
Vollzeit
ab 02.02.2026
Beschreibung
Stellenreferenz: 172777
Mit unseren Marken BMW, MINI, Rolls-Royce und BMW Motorrad sind wir einer der weltweit führenden Premium-Hersteller von Automobilen sowie Motorrädern und darüber hinaus Anbieter von Premium-Finanz- und Mobilitätsdienstleistungen.
We are shaping the future of domain-specific AI systems at the BMW Group by designing, training and operating new foundation models. Our team sets standards for the safe and scalable AI in engineering and production.
What awaits you?
· ... weiter lesen
Mit unseren Marken BMW, MINI, Rolls-Royce und BMW Motorrad sind wir einer der weltweit führenden Premium-Hersteller von Automobilen sowie Motorrädern und darüber hinaus Anbieter von Premium-Finanz- und Mobilitätsdienstleistungen.
We are shaping the future of domain-specific AI systems at the BMW Group by designing, training and operating new foundation models. Our team sets standards for the safe and scalable AI in engineering and production.
What awaits you?
· ... weiter lesen
Stellenreferenz: 172777
Mit unseren Marken BMW, MINI, Rolls-Royce und BMW Motorrad sind wir einer der weltweit führenden Premium-Hersteller von Automobilen sowie Motorrädern und darüber hinaus Anbieter von Premium-Finanz- und Mobilitätsdienstleistungen.
We are shaping the future of domain-specific AI systems at the BMW Group by designing, training and operating new foundation models. Our team sets standards for the safe and scalable AI in engineering and production.
What awaits you?
· You will architect cloud and hardware solutions to scale AI workloads across GPUs and accelerators, optimizing storage and networking for maximum throughput and cost control.
You will engineer and operate end-to-end AI systems, focusing on fine-tuning and scalable serving of modern AI models.
· You will support the MLOps layer by building tools for reliable deployment, real-time monitoring, and the continuous improvement of models throughout their lifecycle.
· You will design and build scalable data pipelines and "flywheels" that ensure high-quality data availability and enable efficient feedback loops for continuous learning.
· You will design robust AI services and lead their integration into production-ready platforms, ensuring stability and performance.
What should you bring along?
· Bachelor´s or Master’s degree in Computer Science, Systems Engineering, or equivalent practical experience
· Hands-on experience with public cloud providers (AWS and Azure) and managing high-performance GPU clusters (e.g. configuring NVIDIA drivers, CUDA versions, and interconnects like InfiniBand/NCCL).
· Strong programming skills in Python with focus on building infrastructure-as-code environments, APIs, CI/CD pipelines and observability tools.
· ML Framework proficiency; operational knowledge of PyTorch specifically how to optimize them for distributed training (using tools like Ray and Slurm).
· Open source contributions or relevant certifications are a plus.
Are you ready to help shape the next generation of domain-specific AI platforms? Apply now!
Find out more about Artificial Intelligence at the BMW Grouphere .
Note: Please apply exclusively online via our career portal. Applications through other channels (especially email) cannot be considered.
What do we offer?
· Challenging projects with which we shape 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 six weeks annual leave and overtime compensation.
· Discounted BMW & MINI conditions.
· Many other benefits atbmw.jobs/benefits
Earliest starting date: from now on
Type of employment: unlimited
Working hours: full-time
If you apply, the next steps in the selection process include an online test and subsequent interviews with the hiring manager (either virtually or in person).
Do you have any questions? Then simply send your enquiry using our contact form . Your enquiry will be answered by telephone or e-mail.
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 .
Mit unseren Marken BMW, MINI, Rolls-Royce und BMW Motorrad sind wir einer der weltweit führenden Premium-Hersteller von Automobilen sowie Motorrädern und darüber hinaus Anbieter von Premium-Finanz- und Mobilitätsdienstleistungen.
We are shaping the future of domain-specific AI systems at the BMW Group by designing, training and operating new foundation models. Our team sets standards for the safe and scalable AI in engineering and production.
What awaits you?
· You will architect cloud and hardware solutions to scale AI workloads across GPUs and accelerators, optimizing storage and networking for maximum throughput and cost control.
You will engineer and operate end-to-end AI systems, focusing on fine-tuning and scalable serving of modern AI models.
· You will support the MLOps layer by building tools for reliable deployment, real-time monitoring, and the continuous improvement of models throughout their lifecycle.
· You will design and build scalable data pipelines and "flywheels" that ensure high-quality data availability and enable efficient feedback loops for continuous learning.
· You will design robust AI services and lead their integration into production-ready platforms, ensuring stability and performance.
What should you bring along?
· Bachelor´s or Master’s degree in Computer Science, Systems Engineering, or equivalent practical experience
· Hands-on experience with public cloud providers (AWS and Azure) and managing high-performance GPU clusters (e.g. configuring NVIDIA drivers, CUDA versions, and interconnects like InfiniBand/NCCL).
· Strong programming skills in Python with focus on building infrastructure-as-code environments, APIs, CI/CD pipelines and observability tools.
· ML Framework proficiency; operational knowledge of PyTorch specifically how to optimize them for distributed training (using tools like Ray and Slurm).
· Open source contributions or relevant certifications are a plus.
Are you ready to help shape the next generation of domain-specific AI platforms? Apply now!
Find out more about Artificial Intelligence at the BMW Grouphere .
Note: Please apply exclusively online via our career portal. Applications through other channels (especially email) cannot be considered.
What do we offer?
· Challenging projects with which we shape 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 six weeks annual leave and overtime compensation.
· Discounted BMW & MINI conditions.
· Many other benefits atbmw.jobs/benefits
Earliest starting date: from now on
Type of employment: unlimited
Working hours: full-time
If you apply, the next steps in the selection process include an online test and subsequent interviews with the hiring manager (either virtually or in person).
Do you have any questions? Then simply send your enquiry using our contact form . Your enquiry will be answered by telephone or e-mail.
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 .
Ref-Nr.: 8689116
Aktualisiert:
10.03.2026
Quelle: Bundesagentur für Arbeit
weitere Infos Rechtliche Hinweise zur Nutzung
Ob die Stelle noch verfügbar ist und weitere Informationen findest du direkt auf der Website der Bundesagentur für Arbeit. Bitte beachte: OPROMA ist nicht der Anbieter dieser Stelle und kann keine Auskünfte geben.
weitere Infos Rechtliche Hinweise zur Nutzung
Ob die Stelle noch verfügbar ist und weitere Informationen findest du direkt auf der Website der Bundesagentur für Arbeit. Bitte beachte: OPROMA ist nicht der Anbieter dieser Stelle und kann keine Auskünfte geben.
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