Backend Inference Framework Engineer Graduate (AML Inference) - 2027 Start
San Jose, California, United States
USD 128K-256K Entry-level Full Time
Tasks
- Design inference service architecture
- Develop inference engine scheduling
- Implement canary release
- Implement model inference services
- Implement monitoring and alerting
- Maintain distributed service architecture solutions
- Optimize distributed high concurrency service performance
- Optimize inference framework core modules
- Resolve performance bottlenecks
- Resolve resource bottlenecks
- Resolve stability issues
- Select and evaluate inference technologies
Perks/Benefits
- N/A
Skills/Tech-stack
Alerting | Algorithms | C# | C++ | Canary Deployment | Concurrency | Data Structures | Distributed Systems | GPU resource management | High concurrency | High-concurrency distributed systems | Inference Systems | Latency optimization | Linux | Monitoring | Multithreading | Performance Tuning | Resource Management | Scheduling | Service Latency | Service Latency Optimization | Synchronization | Thread pool
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
Cities
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