# Senior Data Engineer, Operational Excellence - EDA Infrastructure at NVIDIA

NVIDIA is hiring a Senior Data Engineer, Operational Excellence - EDA Infrastructure for a remote role open to applicants in United States. It pays $152k-$242k a year and Level rates it Uses AI ●●○○; you can [apply on NVIDIA](https://jobsbylevel.com/go/ae5b7f7e-f5e1-4f9d-b219-047e83f488fa?utm_medium=ai-agent).

AI Level 2, AI centrality 43 out of 100. Remote (US, CA, Remote).

## Details

- Company: [NVIDIA](https://jobsbylevel.com/companies/nvidia)
- AI level: AI Level 2 (score 43 out of 100)
- Location: Remote (US, CA, Remote)
- Salary: $152k-$242k
- Posted: November 11, 2026
- Apply: https://jobsbylevel.com/go/ae5b7f7e-f5e1-4f9d-b219-047e83f488fa?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-data-engineer-operational-excellence-eda-infrastructure-at-nvidia-2248e5

## Prepare for this job

The job page lists 4 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/senior-data-engineer-operational-excellence-eda-infrastructure-at-nvidia-2248e5

## 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 What we need to see: 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 NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hard-working people in the world working for us. Are you creative and autonomous? Do you love a challenge? If so, we want to hear from you. NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. If you're creative and self-motivated, we want to hear from you! NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Your base salary will be determined based on your location, experience, and

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Source: https://jobsbylevel.com/jobs/senior-data-engineer-operational-excellence-eda-infrastructure-at-nvidia-2248e5

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