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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.
Requirements
- 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)
Tasks
- 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
Work Experience
- 8 - 10 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- NVIDIA
- CUDA
- InfiniBand
- NCCL
- AWS
- Azure
- SLURM
- Ray
- NVIDIA Run:ai
- Docker
- Kubernetes
- Terraform
- Ansible
- CI/CD
- Python
Benefits
More Vacation Days
- Six weeks annual leave
Competitive Pay
- Overtime compensation
Bonuses & Incentives
- Christmas bonus
- Profit sharing
Diverse Work
- Challenging projects
Learning & Development
- Personal and professional development opportunities
Job Security
- High job security
Corporate Discounts
- Discounted BMW & MINI conditions
Other Benefits
- Many other benefits
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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.
Requirements
- 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)
Tasks
- 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
Work Experience
- 8 - 10 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- NVIDIA
- CUDA
- InfiniBand
- NCCL
- AWS
- Azure
- SLURM
- Ray
- NVIDIA Run:ai
- Docker
- Kubernetes
- Terraform
- Ansible
- CI/CD
- Python
Benefits
More Vacation Days
- Six weeks annual leave
Competitive Pay
- Overtime compensation
Bonuses & Incentives
- Christmas bonus
- Profit sharing
Diverse Work
- Challenging projects
Learning & Development
- Personal and professional development opportunities
Job Security
- High job security
Corporate Discounts
- Discounted BMW & MINI conditions
Other Benefits
- Many other benefits
About the Company
BMW Group
Industry
IT
Description
Das Unternehmen bietet spannende Praktika im Bereich Markenerlebnis und Eventmanagement und legt großen Wert auf Gleichbehandlung und Chancengleichheit.
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