Senior Data Engineer, Operational Excellence - EDA Infrastructure

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 ; you can apply on NVIDIA.

Level's read on this job

Level rates this data engineer role Uses AI ●●○○: an ordinary role that requires AI tools.
The listed pay starts close to the typical data engineer posting on Level.
The posting lists this role as remote.
Tools and skills the posting cites include Databricks and prompt engineering.
Level lists 2,600+ other open roles at NVIDIA.

AI in this role

Databricks

prompt-engineering

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.

How we rate this

Senior Data Engineer, Operational Excellence - EDA Infrastructure at NVIDIA rates 43 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior Data Engineer, Operational Excellence - EDA Infrastructure is an open job at NVIDIA.
Level rates this role AI Level 2 of 4: Uses AI.
The listed salary is $152k-$242k a year.
The role is based in US, CA, Remote and is marked remote.
The job was posted on November 11, 2026.
Seniority: senior.
Applications are handled by NVIDIA. Apply on NVIDIA

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Prompt engineeringDatabricks

Also common in data engineer jobs at this level

AWS Azure Spark Java Machine learning Snowflake

Pay

This job starts at: $152k
Typical data engineer job: $146k

This posting starts close to the typical data engineer job. See data engineer jobs

Questions you could be asked

How do you structure and test a prompt to get consistent output from a language model?
Walk me through how you've used Databricks in your day-to-day work.
This role expects you to use AI tools as part of the job. Which ones have you used, and for what?
Tell me about a time an AI tool got something wrong. How did you catch it?

Adapt your resume

List these exact terms on your resume: Prompt engineering and Databricks. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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