Senior Engineer, DGX Cloud Resilience Engineering - Data Platform

NVIDIA is hiring a Senior Engineer, DGX Cloud Resilience Engineering - Data Platform in Santa Clara, United States. It pays $184k-$288k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

Little AI ●○○○ is how Level rates this role: aI is not part of the work.
The posting mentions Databricks and AI agents among its tools and skills.
Level classes it as a senior role.
NVIDIA has 2,800+ other open roles on Level.
Posted in the last few days.

AI in this role

Databricks

ai-agents

Join a team of engineers at NVIDIA dedicated to building the operational data foundation that powers reliability and resiliency across the DGX Cloud program. Our team designs and operates the data platforms, pipelines, and schemas that enable engineering and leadership teams to measure, understand, and improve operational excellence at scale. As the DGX Cloud program grows, enabling teams to develop, deploy, and manage accelerated computing infrastructure is a top priority, and this team sits at the center of that mission.

What you’ll be doing:

Own and operate the data platform end to end, including the pipelines that ingest, transform, and serve operational data to leadership and partner teams.
Ensure the reliability of those pipelines by setting and meeting targets for uptime, data freshness, and quality, and by leading incident response, root cause analysis, and prevention work.
Define, instrument, and report on operational success metrics such as SLIs/SLOs, pipeline latency, and data completeness, and use them to drive prioritization and continuous improvement.
Partner with customer teams to understand their data needs, translate those needs into platform capabilities and schemas, and set clear expectations for support and delivery.
Provide technical leadership by setting engineering standards, reviewing designs and code, mentoring engineers, and driving the platform roadmap.

What we need to see:

7+ years of experience in software technical leadership roles in an agile software development environment.
BS in Computer Science, Engineering, or a related field, or equivalent experience.
Confirmed experience owning and operating production data pipelines, with a track record of keeping them reliable, observable, and fresh.
Hands-on expertise in Databricks, including designing and leading schemas, tables, and access patterns using Delta Lake.
Strong Python skills, with experience building maintainable, well-tested, production-grade data code.
Solid understanding of medallion architecture and data modeling practices, with the judgment to apply them to balance data quality, performance, and usability.
Experience applying data lineage, retention, and access policies in production environments.

Ways to stand out from the crowd:

Experience building data products and tooling that enables agentic workflows and analysis.
Experience working with APIs for operational data including PagerDuty, Rootly, and Backstage.

#LI-Hybrid

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:
184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 13, 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 Engineer, DGX Cloud Resilience Engineering - Data Platform at NVIDIA rates 21 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● 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 Engineer, DGX Cloud Resilience Engineering - Data Platform is an open job at NVIDIA.
Level rates this role AI Level 1 of 4: Little AI.
The listed salary is $184k-$288k a year.
The role is based in US, CA, Santa Clara.
The job was posted on November 9, 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

AI agentsDatabricks

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
Walk me through how you've used Databricks in your day-to-day work.

Adapt your resume

List these exact terms on your resume: AI agents 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.

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