Dein persönlicher KI-Karriere-Agent
Senior AI Infrastructure Engineer(m/w/x)
Designing and operating GPU-centric AI infrastructure for foundation model development. 8-10 years of AI/HPC infrastructure experience required. Six weeks annual leave, overtime compensation, and profit sharing.
Anforderungen
- University degree in Computer Science, Engineering, or related
- Several years (8-10) industry experience in AI/HPC infrastructure
- Hands-on experience with GPU systems (NVIDIA), drivers, CUDA, optimization
- Experience with distributed systems and high-performance networking (InfiniBand, NCCL)
- Experience in cloud environments (AWS, Azure) and on-prem infrastructure
- Practical experience with resource scheduling and workload orchestration (SLURM, Ray, NVIDIA Run:ai)
- Strong experience in infrastructure automation (Docker, Kubernetes, Terraform, Ansible, CI/CD)
- Proficiency in Python for infrastructure and system tooling
- Experience with training, fine-tuning, or serving ML models in production
- Exposure to large-scale industrial AI use cases (simulation, robotics, engineering)
Aufgaben
- Design and build GPU-centric AI infrastructure
- Operate high-performance compute environments
- Optimize compute, storage, and networking
- Develop and operate scheduling systems
- Ensure efficient GPU resource utilization
- Build and maintain automated infrastructure
- Contribute to BMW-specific AI use cases
- Take technical ownership of AI infrastructure
- Define best practices for AI infrastructure
- Guide less experienced engineers
Berufserfahrung
- 8 - 10 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- NVIDIA
- CUDA
- InfiniBand
- NCCL
- AWS
- Azure
- SLURM
- Ray
- NVIDIA Run:ai
- Docker
- Kubernetes
- Terraform
- Ansible
- CI/CD
- Python
Benefits
Mehr Urlaubstage
- Six weeks annual leave
Attraktive Vergütung
- Overtime compensation
Boni & Prämien
- Christmas bonus
- Profit sharing
Abwechslungsreiche Aufgaben
- Challenging projects
Weiterbildungsangebote
- Personal and professional development opportunities
Sicherer Arbeitsplatz
- High job security
Mitarbeiterrabatte
- Discounted BMW & MINI conditions
Sonstige Vorteile
- Many other benefits
Noch nicht perfekt?
- BMW GroupVollzeitnur vor OrtBerufserfahrenMünchen
- BMW Group
Senior MLOps Engineer - Autonomous Driving Platform(m/w/x)
Vollzeitnur vor OrtSeniorMünchen - BMW Group
Senior ML Ops Engineer - Architecture & Strategy(m/w/x)
Vollzeitnur vor OrtSeniorMünchen - BMW Group
Senior AI & Data Platform Engineer(m/w/x)
Vollzeitnur vor OrtSeniorMünchen - BMW Group
Senior AI Platform Engineer(m/w/x)
Vollzeitnur vor OrtSeniorMünchen
Senior AI Infrastructure Engineer(m/w/x)
Designing and operating GPU-centric AI infrastructure for foundation model development. 8-10 years of AI/HPC infrastructure experience required. Six weeks annual leave, overtime compensation, and profit sharing.
Anforderungen
- University degree in Computer Science, Engineering, or related
- Several years (8-10) industry experience in AI/HPC infrastructure
- Hands-on experience with GPU systems (NVIDIA), drivers, CUDA, optimization
- Experience with distributed systems and high-performance networking (InfiniBand, NCCL)
- Experience in cloud environments (AWS, Azure) and on-prem infrastructure
- Practical experience with resource scheduling and workload orchestration (SLURM, Ray, NVIDIA Run:ai)
- Strong experience in infrastructure automation (Docker, Kubernetes, Terraform, Ansible, CI/CD)
- Proficiency in Python for infrastructure and system tooling
- Experience with training, fine-tuning, or serving ML models in production
- Exposure to large-scale industrial AI use cases (simulation, robotics, engineering)
Aufgaben
- Design and build GPU-centric AI infrastructure
- Operate high-performance compute environments
- Optimize compute, storage, and networking
- Develop and operate scheduling systems
- Ensure efficient GPU resource utilization
- Build and maintain automated infrastructure
- Contribute to BMW-specific AI use cases
- Take technical ownership of AI infrastructure
- Define best practices for AI infrastructure
- Guide less experienced engineers
Berufserfahrung
- 8 - 10 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- NVIDIA
- CUDA
- InfiniBand
- NCCL
- AWS
- Azure
- SLURM
- Ray
- NVIDIA Run:ai
- Docker
- Kubernetes
- Terraform
- Ansible
- CI/CD
- Python
Benefits
Mehr Urlaubstage
- Six weeks annual leave
Attraktive Vergütung
- Overtime compensation
Boni & Prämien
- Christmas bonus
- Profit sharing
Abwechslungsreiche Aufgaben
- Challenging projects
Weiterbildungsangebote
- Personal and professional development opportunities
Sicherer Arbeitsplatz
- High job security
Mitarbeiterrabatte
- Discounted BMW & MINI conditions
Sonstige Vorteile
- Many other benefits
Über das Unternehmen
BMW Group
Branche
IT
Beschreibung
Das Unternehmen bietet spannende Praktika im Bereich Markenerlebnis und Eventmanagement und legt großen Wert auf Gleichbehandlung und Chancengleichheit.
Noch nicht perfekt?
- BMW Group
AI Infrastructure Engineer(m/w/x)
Vollzeitnur vor OrtBerufserfahrenMünchen - BMW Group
Senior MLOps Engineer - Autonomous Driving Platform(m/w/x)
Vollzeitnur vor OrtSeniorMünchen - BMW Group
Senior ML Ops Engineer - Architecture & Strategy(m/w/x)
Vollzeitnur vor OrtSeniorMünchen - BMW Group
Senior AI & Data Platform Engineer(m/w/x)
Vollzeitnur vor OrtSeniorMünchen - BMW Group
Senior AI Platform Engineer(m/w/x)
Vollzeitnur vor OrtSeniorMünchen