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Senior Data Engineer – Observability Analytics & Pipelines

Posted yesterday

nvidiaSanta Clara (CA)

SENIORITY

Lead

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About the role

NVIDIA's Hardware Infrastructure organization is seeking a Senior Data Engineer to build and evolve analytics-ready data platforms that power observability, reliability analysis, and capacity forecasting for EDA datacenters. You will transform large-scale telemetry data into trusted, well-modeled datasets enabling data scientists, analysts, and engineers to drive insights across global CPU and GPU compute clusters.

Before you apply

Applying takes about a minute. These four things decide how fast it moves after that.

Your profile is current

It's what we read first. Occupations, seniority and locations matter more than a long history.

Two examples you can talk through

Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.

A number in mind

What you're on now and what would make you move. We negotiate better when we know both.

Your notice period

Employers plan around it, and it's the question that stalls offers most often.

Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.

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