AI Systems & Platform Internals - Technical Architect
San Francisco, California, United States
USD 140K-160K (estimate) Entry-level Full Time
Tasks
- Architect inference runtime and model serving
- Build cost optimization frameworks
- Collaborate on training and research infrastructure
- Create validation and regression testing systems
- Define telemetry tracing and alerting
- Design AI platform architecture
- Design context compression and auditing
- Design observability reliability and production operations
- Develop context engineering frameworks
- Implement evaluation gates and release safety
- Improve distributed inference performance
- Lead architecture tradeoff decisions
- Mentor engineers and review design documents
- Optimize GPU kernel performance
- Support agentic and multimodal platform internals
Perks/Benefits
- N/A
Skills/Tech-stack
Async execution | Batch inference | C++ | CUDA | Context engineering | Distributed Systems | Fault Tolerance | GPU Computing | GPU Profiling | Go | High Availability | Inference | JAX | Java | Job Scheduling | Long Context | Memory Optimization | Microservices | Model Deployment | Model Serving | NCCL | Observability | Orchestration | PyTorch | Python | Quantitative Evaluation | RCCL | Release Engineering | Response Caching | Retrieval-Augmented Generation | Rust | SLO | Semantic Caching | Telemetry | Tracing | Triton | TypeScript
Education
N/A
Regions
Countries
States
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