Staff AI Infrastructure Engineer
Tasks
- Architect and operate GPU environments
- Build reliability mechanisms
- Build systems with research for new model capabilities
- Debug across hardware kernel runtime and orchestration
- Define scaling for training and inference
- Design scheduling placement and resource management
- Eliminate instability classes
- Ensure inference platform scalability and low latency
- Hire and develop reliability engineers
- Improve utilization and performance
- Influence product and research architecture early
- Raise company reliability standards
- Resolve failures across hardware OS runtimes and orchestration
- Set technical depth and production ownership standards
- Shape platform strategy from reliability constraints
- Write code and build automation
Perks/Benefits
- N/A
Skills/Tech-stack
Automation | Containerization | Debugging | Distributed Systems | GPU | Kubernetes | Linux | Networking | Resource Management | Scheduling | Storage
Education
N/A
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