INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN.

Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. But it takes real intellectual leadership and expertise to identify and then harness the AI trends and technologies that will transform the way people travel for good.

We develop and scale Agentic AI systems and Industry Foundation Models that transform engineering, manufacturing, and enterprise processes at the BMW Group. As an internal AI consulting and engineering organisation, we work directly with business domains to identify high-impact use cases, build production-ready AI solutions, and establish secure, scalable platforms to train, deploy, and operate them.

What awaits you?

• You architect cloud and hardware solutions to scale AI workloads across GPUs and accelerators, while optimising storage and networking for throughput, resilience, and cost efficiency.
• From fine-tuning and inference to large-scale model serving, you engineer, deploy, and operate production-grade AI systems and Industry Foundation Models.
• You build and continuously enhance platform capabilities for reliable deployments, Infrastructure as Code, observability, monitoring, and end-to-end model lifecycle management.
• By designing scalable data pipelines and AI data flywheels, you ensure access to high-quality data and enable continuous learning.
• Working closely with enterprise platforms, you develop robust AI services and integrate them securely while maintaining reliability and operational excellence.
• A key part of your role is designing secure-by-default AI infrastructure, including identity and access management, infrastructure hardening, secrets management, and enterprise-grade security controls.

What should you bring along?

• University degree in Computer Science, Systems Engineering, or a comparable technical discipline.
• At least four years of professional experience designing, building, and operating modern cloud, AI, or platform infrastructure in production environments.
• Hands-on experience with AWS, Azure, and high-performance GPU clusters, including NVIDIA GPUs, CUDA, NCCL, and InfiniBand.
• Strong programming skills in Python with experience in Infrastructure as Code, APIs, CI/CD, automation, and observability.
• Practical experience with PyTorch and distributed AI training technologies such as Ray, Slurm, or Kubernetes.
• Strong understanding of cloud security, enterprise infrastructure security, identity and access management, networking, and platform hardening.
• Commitment to continuous learning, including current developments in AI infrastructure, cloud platforms, platform engineering, cybersecurity, and emerging AI technologies.

Are you ready to build the next generation of industrial AI with secure, scalable, and production-ready platforms? Apply now!

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

Note: Please apply exclusively online via our career portal. Applications via other channels (esp. e-mail) cannot be considered.

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 steps in the selection process include an online test and subsequent interviews with the hiring manager (either virtually 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.