Job
- Level
- Erfahren
- Job Feld
- IT, DevOps, Back End
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- München
- Arbeitsmodell
- Onsite
Job Zusammenfassung
In diesem Job entwickelst du skalierbare Cloud- und Hardwarelösungen für KI-Anwendungen, optimierst Speicher und Netzwerke, sowie implementierst Sicherheits- und Managementmaßnahmen für Produktionssysteme.
Job Technologien
Deine Rolle im 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.
Unsere Erwartungen an dich
Ausbildung
- University degree in Computer Science, Systems Engineering, or a comparable technical discipline.
Qualifikationen
- 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.
Erfahrung
- 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.
Unser Angebot
- 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
Gesundheit, Fitness & Fun
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
BMW AG
Weltweit führend in der Premium-Klasse: Ob Automobile, Motorräder oder Finanz- und Mobilitätsdienstleistungen - die Marken BMW, MINI, Rolls-Royce und BMW Motorrad stehen für höchste Qualität.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Fahrzeugbau, Zulieferer, Industrie, Produktion
Arbeitgeber-Reviews
von devworkplaces.com
Gesamt
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4.1
AI Infrastructure Engineer
- Ort
- München
- Arbeitsmodell
- Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
