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# Senior Data Engineer, Operational Excellence - EDA Infrastructure

- **Company:** NVIDIA Corporation
- **Location:** United States
- **Experience:** Expert
- **Salary:** $152,000 - $241,500
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Cloud Computing, Information Engineering, Data Infrastructure, Software Debugging, Distributed Systems, Issue Tracking Systems, Python (Programming Language), Operational Data Store, Reliability Engineering, Software Engineering, SQL Databases, Tableau (Software), AI Infrastructure, Large Language Models, Grafana, Prompt Engineering, Data Management, Data Pipelines, Pagerduty, Servicenow, Databricks
- **Published:** November 14, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-data-engineer-operational-excellence-eda-infrastructure-wa--703ba2dc-18e6-4007-b4e3-2032a29ec72e

## About the Role

Machine Tool, Software Engineering, Artificial Intelligence (AI), Cloud Computing, Risk Management, Incident Response, Data Management, Business Operations, Data Analysis, Reliability Engineering, * 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 feed operational reporting
 * Proven ability to analyze incident trends and present findings that leadership uses to prioritize reliability work
 * Hands-on experience with incident management platforms (e.g., PagerDuty, Rootly, ServiceNow) and dashboarding tools (e.g., Tableau, Grafana, Databricks)
 * Experience facilitating blameless postmortems or operational reviews and holding teams accountable for follow-up actions
 * Clear, calm communication with engineers, leadership and stakeholders during high-pressure incidents
 * Hands-on experience with AI tools to speed up analysis, debugging, and documentation

Ways to stand out from the crowd:

 * Experience applying statistical or ML methods to operational data, such as anomaly detection, forecasting, or clustering incident text to find related failures. Served formally as an incident commander in previous roles
 * Background building or contributing to internal reliability platforms for incident tracking, telemetry, or service cataloging
 * Experience operating 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, enough to follow root cause discussions in depth
 * Experience using LLMs and prompt engineering to automate incident summaries, trend detection, or knowledge retrieval

## Description

AI Infrastructure Engineers at NVIDIA build the systems, tooling, and data infrastructure that enable operation of our AI cloud services. We are enabling engineering teams to innovate while proactively identifying, tracking, and mitigating risks across the entire technical task.

We are looking for engineers who combine strong operational excellence practices with hands-on data engineering expertise. You will lead incident response when it matters most and build the data pipelines and analysis that show where reliability needs to improve.

What you'll be doing:

 * 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 find 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 the resulting corrective actions to completion
 * Strengthen operational excellence practices such as runbooks and on-call readiness using what the data shows
 * Run postmortem reviews and operational health forums, bringing incident data to each session and driving clear owners and follow-up