AI Solutions Engineer
US - CA - Home Office, United States
USD 100K-250K Senior-level Full Time
Tasks
- Assess customer requirements through discovery and qualification
- Build technical relationships with OEMs and partners
- Create documentation, playbooks, and training materials
- Create hardware configurations and scalability designs
- Deliver technical presentations and proofs of concept
- Design AI data center infrastructure solutions
- Develop and maintain bills of materials
- Manage solution practice pipeline
- Monitor AI hardware industry developments
- Provide AI infrastructure SME guidance
- Provide product training to sales teams and customers
- Recommend AI infrastructure best practices
- Support field sales with RFP and technical objections
- Validate and recommend solutions using reference architectures
Perks/Benefits
- Continuous professional growth
- Financial benefits
- Health and wellness benefits
- Leadership opportunities
- Technology resources for work
- Travel opportunities
- World-class facilities
Skills/Tech-stack
AI Data | AI data center | AI data center platforms | AI workloads | Active/Active | Active/standby | Backup and Recovery | Bill of Materials | Business Continuity | CUDA | Clustering | Containerization | Cost Performance | Cost-performance analysis | Data center | Data center architecture | Data center platforms | Disaster Recovery | Ethernet | GPU Computing | High Availability | Hypervisor | Infiniband | Kubernetes | Kubernetes for AI | Mirroring | NCCL | NVIDIA DGX | NVMe | Network Architecture | Performance Analysis | Power and cooling | PyTorch | Rack Design | SDDC | Server virtualization | Software Defined Data Center | Storage networking | TensorFlow | Virtualization
Education
Roles
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