Senior AI Infrastructure Engineer
Tasks
- Automate hardware management in data centers
- Build IaaS software layer for GPU data center
- Build microservices for global cloud platform
- Create testing frameworks for robustness and fault-tolerance
- Create tools and developer documentation
- Design, build, and maintain backend services
- Develop observability stacks
- Manage node lifecycle for distributed training
- Operate high performance object store
- Research and architect decentralized AI workloads
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Ansible | ArgoCD | Azure | CI/CD | CUDA | Fault Tolerance | Fault tolerance testing | GCP | GitHub Actions | Golang | Grafana | High Performance | High-Performance Computing | Infiniband | Infrastructure automation | KVM | KubeVirt | Kubernetes | Kubernetes Operators | Microservices | Monitoring | NCCL | Network Virtualization | OVN | OVS | Object storage | Observability | Performance Computing | Prometheus | QEMU | Storage provisioning | Terraform | VLAN | VMware | VPC | VPN | VXLAN
Education
N/A
Regions
Countries
States
Cities
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