Senior Software Architect, AI Networking
Tasks
- Author design documents internal specs and technical blog posts
- Collaborate across model systems compiler and networking teams
- Design scalable architectures for multi node LLM inference
- Develop infrastructure to optimize latency throughput cost efficiency
- Evaluate and integrate software and hardware technologies for model inference
- Prototype KV cache handling tensor parallel pipeline parallel and dynamic batching
- Translate high level architecture into reliable high performance systems
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | CUDA | Cluster scheduling | Compute scheduling | Deep learning | Distributed Systems | Dynamic batching | GPU Acceleration | Inter-node communication | KV cache | Language Models | Large Language Models | Memory Orchestration | Network Topology | Performance Profiling | Pipeline parallelism | Python | Tensor Parallelism
Education
Roles
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