Senior Fleet-Scale Systems Engineer (Logging & Debugging)

NVIDIA AI; Santa Clara (CA); On-site; USD 184,000 - 356,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA in Santa Clara, CA is seeking a Senior Engineer to drive fleet-scale debugging and log analytics for the Datacenter System Software team. You will design end-to-end infrastructure to collect, normalize, and reason over multi-rack logs from GPUs, CPUs, and network products, enabling rapid root-cause analysis.

Responsibilities include building portable tooling, maintaining a log taxonomy, collaborating with cross-functional teams, and contributing to open-source releases while delivering

Qualifications

• 10+ years in software with specialization in system software and/or firmware development.
• BS, MS, or PhD in CS, CE, EE, or a related technical field — or equivalent experience.
• Proven track record of shipping scalable server products or fleet-wide experience.
• Excellent written and oral communication skills, including executive-level reporting.

Responsibilities

• Architect fleet-wide log collection and analysis solutions across components, trays, and racks.
• Develop tooling to collect, normalize, and time-align logs from heterogeneous sources (kernel, drivers, syslog, Redfish, SEL, firmware, BMC).
• Build and maintain a log catalog and taxonomy mapping signatures to fault classes and remediation guidance.
• Develop root-cause tooling to derive diagnoses for hardware, firmware, and platform faults at fleet scale.

Skills

Python

Rust

Linux

Education

BS/MS/PhD in CS/CE/EE or related field

Tools

Git

Perforce

Jira

Job description

NVIDIA in Santa Clara, CA is seeking a Senior Engineer to drive fleet-scale debugging and log analytics for the Datacenter System Software team. You will design end-to-end infrastructure to collect, normalize, and reason over multi-rack logs from GPUs, CPUs, and network products, enabling rapid root-cause analysis.

Responsibilities include building portable tooling, maintaining a log taxonomy, collaborating with cross-functional teams, and contributing to open-source releases while delivering