Sr. Fleet Debugger
Core
Architect and deliver AI-native, end-to-end system debug solutions for hyperscale datacenter infrastructure, combining engineering expertise, telemetry, automation, and agentic workflows.
Role type
Senior IC system reliability and debugging engineer (AI/agents)
Builds
Specialized engineering agentic skills, tools, and reusable workflows for autonomous or human-supervised execution at scale
Domain
Hyperscale datacenter infrastructure, hardware, firmware, software, and platform systems
Deliverable
production ML models
Required skills
System-level debug and validation, telemetry analysis, automation engineering, agentic workflow design, root cause analysis, closed-loop learning system engineering, human-in-the-loop controls, technical leadership in AI/agent technologies, data analytics, coding in C/C++/C#/Java/JavaScript/Python
Preferred skills
Experience with large-scale data and analytical tools
Technologies
AI, agents, telemetry, automation, C, C++, C#, Java, JavaScript, Python
Responsibilities
Design and orchestrate human-agent engineering workflows for failure detection, triage, segmentation, root cause analysis, mitigation, and remediation. Lead cross-functional debug initiatives spanning hardware, firmware, software, and datacenter systems. Develop world-class at-scale debug methodologies, diagnostic strategies, and automated test routines. Engineer closed-loop learning systems that convert incidents into reusable knowledge. Define safe and governed agentic execution models with human-in-the-loop controls. Drive the transition from engineer-driven to outcome-driven engineering. Provide technical leadership on emerging AI, agent, diagnostic, and automation technologies.
Seniority
Senior, hands-on IC with technical leadership
