Systems Architect AI/ML Infrastructure
Tasks
- Architect compute orchestration for GPU and CPU workloads
- Architect research compute infrastructure
- Collaborate with engineering leadership on infrastructure strategy
- Define infrastructure architecture for AI ML workloads
- Design burstable elastic infrastructure for training
- Design multi cloud and hybrid infrastructure strategies
- Design storage architectures for training and serving
- Drive cost optimization and FinOps practices
- Establish architecture standards design review and documentation
- Evaluate emerging hardware and cloud services
- Lead capacity planning and infrastructure scaling
Perks/Benefits
- 401k match
- AI enablement workshops
- Conference participation
- Disability insurance
- Employee resource groups
- Flexible schedule
- Home office upgrade stipend
- Learning & education stipend
- Life insurance
- Medical, dental, vision benefits
- Mental health support
- Paid Company Holidays
- Paid parental leave
- Personal Productivity Stipend
- Tax savings programs
- Unlimited PTO
- Wellness stipend
Skills/Tech-stack
AWS | Azure | Block Storage | CPU | Capacity Planning | Distributed Training | Docker | File Storage | FinOps | GPU | Google Cloud | HPC | Kubernetes | Load Balancing | Network routing | Object storage | Ray | Slurm | Virtualization
Education
N/A
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