AI Data Center Architect
Overview
Design and architect modern AI infrastructure at enterprise or hyperscale scale. Lead GPU infrastructure and AI factories solutions. Differentiate from traditional data center roles.
What You'll Do11
- 1Build scalable GPU clusters using Spark and Airflow
- 2Design AI Factories leveraging NVIDIA reference architectures
- 3Implement high-performance networking for data centers
- 4Develop AI storage solutions optimized for machine learning workloads
- 5Deploy Kubernetes orchestrated environments for AI services
- 6Lead migration of legacy systems to cloud-native AI platforms
- 7Optimize resource allocation across multi-tenant environments
- 8Drive automation of infrastructure provisioning pipelines
- 9Collaborate with cross-functional teams to align architecture with business goals
- 10Maintain compliance with industry security standards
- 11Monitor and improve system performance through telemetry analysis
Requirements10
- 15+ years building ETL pipelines with Spark and Airflow
- 23-5 seasons leading large-scale infrastructure projects
- 35+ years experience with GPU infrastructure
- 4Expertise in AWS Certified solutions
- 5Proficiency with Kubernetes and container orchestration
- 6Strong knowledge of NVIDIA hardware and software stacks
- 7Understanding of PCIe and NVLink technologies
- 8Familiarity with RDMA and InfiniBand networks
- 9Experience with containerized AI workloads
- 10Ability to translate technical requirements into actionable designs
Salary Insight
Salary not disclosed in listing
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