AI Systems & Platform Internals - Technical Architect
San Francisco, California, United States
USD 90K-144K (estimate) Entry-level Full Time
Tasks
- Analyze and optimize GPU kernel performance
- Architect inference runtime and model serving
- Architect training and research infrastructure
- Build reliability and observability production operations
- Define release safety validation and evaluation gates
- Design AI systems architecture
- Design agentic and multimodal platform internals
- Design context engineering frameworks
- Implement cost optimization frameworks
- Improve distributed inference performance
- Provide technical leadership and mentorship
Perks/Benefits
- N/A
Skills/Tech-stack
Async execution | Batch inference | C++ | CUDA | Caching | Context Pruning | Deep learning | Distributed Systems | Evaluation | Fault Tolerance | GPU Computing | Go | Inference | Java | Job Scheduling | KV cache | Logging | Machine Learning | Microservices | Model Serving | Model sharding | NCCL | Observability | Orchestration | Pipeline parallelism | Profiling | Prompt Compression | Python | RCCL | Release Management | Response Caching | Retrieval-Augmented Generation | Rust | SLOs | Safety testing | Semantic Caching | Tensor Parallelism | Tracing | Triton | TypeScript
Education
N/A
Roles
Regions
Countries
States
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