Distinguished Engineer - Inference Serving Network and Storage
Austin, Texas, United States
USD 206K-326K (estimate) Senior-level Full Time
Tasks
- Automate network and storage management frameworks
- Define networking architecture for inference serving
- Define storage architecture for model artifacts and checkpoints
- Design KV cache storage tiering and restore mechanisms
- Design management network architecture
- Develop infrastructure for disaggregated prefill decode and continuous batching
- Establish monitoring and observability for network and storage
- Establish performance models benchmarks and tuning methodologies
- Guide parallelism scaling strategies for tensor pipeline and expert parallelism
- Identify technical risks and resolve architecture trade offs
- Implement session state telemetry and log storage
- Implement traffic isolation and segmentation
- Influence roadmap standards and implementation choices
- Lead small multi functional technical team
- Optimize inter partition latency path
- Optimize networking and storage for AI and HPC workloads
- Plan backup and disaster recovery
- Set QoS and transport tuning strategy
Perks/Benefits
Skills/Tech-stack
Artifact management | Automation | Backup | Backup and Restore | Benchmarking | Caching | Checkpointing | Congestion Control | Disaster Recovery | Distributed Storage | Distributed Systems | Flow Control | High Performance | High Performance Transport | High Throughput | High-Performance Computing | High-Throughput Systems | KV cache | Logging | Low Latency | Low-Latency Systems | Mixture of Experts | Model Artifact Management | Monitoring | Networking | Observability | Performance Computing | Pipeline parallelism | Provisioning | Quality of Service | Replication | Resource prioritization | Segmentation | Session State | Session State Management | State management | Storage Architecture | Tail Latency | Telemetry | Tensor Parallelism | Throughput Stability | Traffic isolation | Tuning
Education
Roles
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