AI Systems Engineer Graduate (AI Code Infrastructure-Agentic Ops US) - 2027 Start
Core
Building and optimizing code graphs for static and dynamic validation to improve code reliability and R&D efficiency.
Role type
Graduate AI Systems Engineer (Code Infrastructure & Agentic Ops)
Builds
Code graph infrastructure, static validation rules, and dynamic issue detection/reproduction tools.
Domain
Software Engineering / Code Analysis / System Reliability
Deliverable
production ML models
Required skills
Programming (Go/Python/Java/C++), Data structures and algorithms, Static analysis, Dynamic tracing, Research-oriented problem solving
Preferred skills
Compiler development, Automated testing, Academic publications, Open-source contributions
Technologies
AST, CFG, eBPF, OpenTelemetry
Responsibilities
Extract static relationships and cleanse dynamic trace data; Design and implement static validation rules and dynamic validation tools; Analyze production quality issues to drive automation coverage; Research and apply cutting-edge techniques in code analysis and anomaly detection.
