Senior AI Infrastructure Engineer - Training Platform
San Francisco, CA; Seattle, WA; New York, NY
USD 216K-270K Senior-level Full Time
Tasks
- Architect multi tenant GPU orchestration layer
- Deliver end-to-end project execution
- Design scheduling primitives for training jobs
- Evaluate build-vs-buy decisions
- Identify isolate hardware failures
- Implement deep observability and automated health checking
- Integrate CNCF and AI ecosystem technologies
- Optimize training job lifecycle
- Participate in on-call operations
- Plan compute capacity
- Scale high performance training platform
Perks/Benefits
- Commuter stipend
- Comprehensive health, dental and vision coverage
- Generous PTO
- Learning and development stipend
- Retirement benefits
Skills/Tech-stack
AWS | Admission controllers | C++ | CUDA | Custom Resources | DeepSpeed | Device plugins | Distributed Storage | Distributed Training | EFA | FSDP | GCP | Gang Scheduling | Go | Infiniband | Infrastructure as Code | Kubernetes | Kueue | Lustre | NCCL | NVIDIA hardware | Nvidia software | Operators | Preemption | PyTorch | Python | Queueing | Quotas | Ray | Rust | S3 | Terraform | Topology Aware Scheduling | “as-code”
Education
N/A
Regions
Countries
States
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