BMW Group
Senior AI Infrastructure Engineer(m/w/x)
Full-timeOn-siteSenior
München
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BMBMW Group
AI Infrastructure Engineer(m/w/x)
München
Full-timeOn-siteExperienced
AI/ML
Nejo AI Summary
Architecting cloud/hardware for AI workloads, scaling GPU clusters, and optimizing storage/networking for foundation models. Hands-on AWS/Azure and GPU cluster management experience required. Six weeks annual leave, overtime compensation.
Requirements
- Bachelor's or Master's degree in Computer Science, Systems Engineering, or equivalent practical experience
- Hands-on experience with AWS and Azure
- Managing high-performance GPU clusters
- Configuring NVIDIA drivers, CUDA versions, and interconnects like InfiniBand/NCCL
- Strong programming skills in Python
- Building infrastructure-as-code environments
- Building APIs
- Building CI/CD pipelines
- Building observability tools
- ML Framework proficiency
- Operational knowledge of PyTorch
- Optimizing PyTorch for distributed training
- Open source contributions are a plus
- Relevant certifications are a plus
Tasks
- Architect cloud and hardware solutions for AI workloads
- Scale AI workloads across GPUs and accelerators
- Optimize storage and networking for throughput and cost
- Engineer and operate end-to-end AI systems
- Fine-tune modern AI models
- Scale serving of modern AI models
- Support the MLOps layer
- Build tools for reliable model deployment
- Build tools for real-time model monitoring
- Build tools for continuous model improvement
- Design scalable data pipelines
- Build scalable data pipelines
- Design data 'flywheels' for high-quality data
- Build data 'flywheels' for high-quality data
- Enable efficient feedback loops for learning
- Design robust AI services
- Lead AI service integration into platforms
- Ensure stability and performance of AI services
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- AWS
- Azure
- NVIDIA drivers
- CUDA
- InfiniBand
- NCCL
- Python
- PyTorch
- Ray
- Slurm
Benefits
More Vacation Days
- Six weeks annual leave
Competitive Pay
- Overtime compensation
Learning & Development
- Personal and professional development opportunities
Job Security
- High job security
Additional Allowances
- Annual special payments
Bonuses & Incentives
- Christmas bonus
- Profit sharing
Corporate Discounts
- Discounted BMW & MINI conditions
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of BMW Group and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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AI Infrastructure Engineer(m/w/x)
München
Full-timeOn-siteExperienced
AI/ML
Nejo AI Summary
Architecting cloud/hardware for AI workloads, scaling GPU clusters, and optimizing storage/networking for foundation models. Hands-on AWS/Azure and GPU cluster management experience required. Six weeks annual leave, overtime compensation.
Requirements
- Bachelor's or Master's degree in Computer Science, Systems Engineering, or equivalent practical experience
- Hands-on experience with AWS and Azure
- Managing high-performance GPU clusters
- Configuring NVIDIA drivers, CUDA versions, and interconnects like InfiniBand/NCCL
- Strong programming skills in Python
- Building infrastructure-as-code environments
- Building APIs
- Building CI/CD pipelines
- Building observability tools
- ML Framework proficiency
- Operational knowledge of PyTorch
- Optimizing PyTorch for distributed training
- Open source contributions are a plus
- Relevant certifications are a plus
Tasks
- Architect cloud and hardware solutions for AI workloads
- Scale AI workloads across GPUs and accelerators
- Optimize storage and networking for throughput and cost
- Engineer and operate end-to-end AI systems
- Fine-tune modern AI models
- Scale serving of modern AI models
- Support the MLOps layer
- Build tools for reliable model deployment
- Build tools for real-time model monitoring
- Build tools for continuous model improvement
- Design scalable data pipelines
- Build scalable data pipelines
- Design data 'flywheels' for high-quality data
- Build data 'flywheels' for high-quality data
- Enable efficient feedback loops for learning
- Design robust AI services
- Lead AI service integration into platforms
- Ensure stability and performance of AI services
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- AWS
- Azure
- NVIDIA drivers
- CUDA
- InfiniBand
- NCCL
- Python
- PyTorch
- Ray
- Slurm
Benefits
More Vacation Days
- Six weeks annual leave
Competitive Pay
- Overtime compensation
Learning & Development
- Personal and professional development opportunities
Job Security
- High job security
Additional Allowances
- Annual special payments
Bonuses & Incentives
- Christmas bonus
- Profit sharing
Corporate Discounts
- Discounted BMW & MINI conditions
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of BMW Group and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
BMW Group
Industry
Automotive
Description
Das Unternehmen bietet spannende Praktika im Bereich Markenerlebnis und Eventmanagement und legt großen Wert auf Gleichbehandlung und Chancengleichheit.
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