Job
In this role, you will design scalable cloud and hardware solutions for AI workloads, optimize storage and networking, and implement security and management measures for production systems.
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Job technologies
Your role in the team
- You architect cloud and hardware solutions to scale AI workloads across GPUs and accelerators, while optimizing storage and networking for throughput, resilience, and cost efficiency.
- Furthermore, you engineer, deploy, and manage production-grade AI systems for fine-tuning, inference, and scalable serving of modern AI and Industry Foundation Models.
- In addition, you build and evolve platform capabilities for reliable deployments, Infrastructure as Code, observability, monitoring, and continuous model lifecycle management.
- Moreover, you design scalable data pipelines and AI data flywheels that provide high-quality data and enable continuous learning.
- Additionally, you design robust AI services and integrate them into enterprise platforms while ensuring security, reliability, and operational excellence.
- Finally, you design secure-by-default AI infrastructure and implement identity and access management, infrastructure hardening, secrets management, and security controls for enterprise AI platforms.
Our expectations of you
Education
- University degree in Computer Science, Systems Engineering, or a comparable technical discipline.
Qualifications
- Starkes Verständnis von Cloud-Sicherheit, Sicherheit der Unternehmensinfrastruktur, Identitäts- und Zugriffsmanagement, Netzwerktechnik und Plattform-Hardening.
- Commitment to continuous learning, including current developments in AI infrastructure, cloud platforms, platform engineering, cybersecurity, and emerging AI technologies.
Experience
- 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.
What 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.
Benefits
Work-Life-Integration
Health, fitness & fun
Food & drink
Topics you will work on
Job locations
About your employer
Our world-leading premium automotive brands BMW, MINI, Rolls-Royce and our motorcycles, along with our comprehensive range of high-quality financial and mobility services make us a unique provider.
- Established Company
- Hybrid, Onsite
- Vehicle Manufacturing, Supplier · Industry, Production
Employer reviews
- Career growth
- 3.1
- Engineering
- 2.4
- Team culture
- 3.1
- Working conditions
- 4.1
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