Staff Software Engineer, ML Infrastructure, Applied AI
Tasks
- Architect distributed infrastructure for agentic AI workflows
- Build low latency systems using C++
- Conduct design reviews and code audits
- Ensure system reliability observability and fault tolerance
- Harden prototypes for production release
- Implement efficient connectors optimize kernels manage memory reduce latency
- Optimize inference cost and system efficiency
- Own technology stack for production services
- Prototype new capabilities and productionize
- Provide system architecture guidance and code quality
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | Code review | Data Processing | Debugging | Design review | Distributed Systems | Fault Tolerance | Fine Tuning | Inference Optimization | Language Processing | Machine Learning | Memory Management | Model Deployment | Model Evaluation | Natural Language | Natural Language Processing | Observability | Reinforcement Learning | System Architecture | System Reliability
Education
Regions
Countries
States
Cities
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