Senior Data Engineer, Operational Excellence - EDA Infrastructure
In short. Senior Data Engineer, Operational Excellence - EDA Infrastructure at NVIDIA: a full-time senior role, fully remote (Remote, CA, MA, NC). The employer does not list a salary. Asks for 5+ years of experience. Skills mentioned: Python, Machine learning, SQL, LLMs. Posted Nov 11, 2026, checked on the employer's site 32 min ago.
- Early applicant
Opens NVIDIA's own application page. No sign-up on Sudo Get Job.
Skills mentioned
About the role
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 other objective job-related factors. The expected base salary ranges for this position are:152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 15, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Opens NVIDIA's own application page. No sign-up on Sudo Get Job.
