Senior Data Engineer, Operational Excellence - EDA Infrastructure

Details

AI Infrastructure Engineers at NVIDIA build the systems, tooling, and data infrastructure that enable the operation of AI cloud services. This role combines operational excellence practices with hands-on data engineering expertise, including leading incident response and building data pipelines and analysis to identify reliability improvements.

Responsibilities

• Serve as incident commander for high-severity incidents, coordinating responders across teams through mitigation and recovery.
• Build and maintain data pipelines that collect incident, alert, and change data into a clean, queryable source for reliability reporting.
• Run incident trend analysis to identify recurring failure patterns, regressions in TTD, TTM, and TTR, and the services contributing most to customer impact.
• Turn trend findings into prioritized recommendations for engineering leadership and track corrective actions through completion.
• Strengthen operational excellence practices, including runbooks and on-call readiness, using data-driven insights.
• Run postmortem reviews and operational health forums, bringing incident data to each session and driving clear ownership and follow-up.

Requirements

• 5+ years of experience in data engineering, incident management, or a closely related engineering role.
• Bachelor's degree or equivalent experience.
• Strong data engineering skills in SQL and Python, with experience building and maintaining pipelines that support operational reporting.
• Proven ability to analyze incident trends and present findings used by leadership to prioritize reliability work.
• Hands-on experience with incident management platforms such as PagerDuty, Rootly, or ServiceNow.
• Experience with dashboarding tools such as Tableau, Grafana, or Databricks.
• Experience facilitating blameless postmortems or operational reviews and ensuring teams complete follow-up actions.
• Clear, calm communication with engineers, leadership, and stakeholders during high-pressure incidents.
• Hands-on experience using AI tools to accelerate analysis, debugging, and documentation.

Preferred Qualifications

• Experience applying statistical or machine learning methods to operational data, including anomaly detection, forecasting, or clustering incident text to identify related failures.
• Formal experience serving as an incident commander.
• Background building or contributing to internal reliability platforms for incident tracking, telemetry, or service cataloging.
• Experience working in globally distributed, 24/7 environments with strict SLOs tied to external customer impact.
• Track record of running incident simulations or game days that measurably improved team readiness.
• Familiarity with distributed systems, cloud infrastructure, or GPU-based services sufficient to follow root-cause discussions in depth.
• Experience using LLMs and prompt engineering to automate incident summaries, trend detection, or knowledge retrieval.

Compensation and Benefits

The expected base salary ranges are USD 152,000–241,500 for Level 3 and USD 184,000–287,500 for Level 4. Base salary is determined by location, experience, and other objective job-related factors. The role is also eligible for equity and benefits.

Applications will be accepted at least until November 15, 2026. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.