Senior Data Engineer, Networking Architecture

NVIDIA is hiring a Senior Data Engineer to join the Software Architecture Team. In this role, you will play a critical leadership position in driving data‑driven decision‑making and shaping the next generation of Data Center monitoring, analytics, and management platforms across NVIDIA. You will own and evolve large‑scale telemetry and analytics pipelines end‑to‑end, with a strong emphasis on data quality, scalability, and architectural excellence.

What you'll be doing:

• Act as the technical owner and primary point of contact for ML/AI data pipelines, large‑scale data ingestion, and enterprise data warehousing.

• Lead the design and onboarding of new, high‑volume data sources to continuously expand and mature the centralized Data Lake.

• Partner with multiple NVIDIA product and infrastructure teams to translate complex business and technical requirements into scalable data solutions.

• Work closely with system architects, platform engineers, and data scientists to co‑design end‑to‑end analytics and ML‑ready architectures.

• Design, build, and optimize high‑performance ETL pipelines with strong guarantees around data integrity, reliability, and observability.

• Contribute to and influence the architecture of next‑generation monitoring, telemetry, and analytics platforms for hyperscale Data Centers.

• Provide technical leadership and mentorship, guiding teams toward guidelines in data engineering and data‑driven decision‑making.

What we need to see:

• BSc or equivalent experience or MSc. in Computer Science, Computer Engineering, or a related field.

• 8+ years of hands‑on experience in Data Engineering, large‑scale telemetry systems, and big‑data platforms.

• Deep understanding of telemetry architectures, automation technologies, and modern application platforms and paradigms.

• Strong familiarity with networking fundamentals; experience in data‑center environments is a strong advantage.

• Proven experience with modern analytics and big‑data platforms such as Spark, Databricks, and similar ecosystems.

• Solid understanding of different telemetry pipeline models and trade‑offs (streaming vs. batch, push vs. pull, real‑time vs. near‑real‑time).

• Advanced programming skills and a track record of building production‑grade data pipelines, tooling, and proof‑of‑concepts.

Ways to stand out from the crowd:

• Demonstrated ability to prototype complex ideas quickly and clearly articulate their business and technical value.

• Experience with cloud‑native development, deployment, and guidelines.

• Hands‑on experience with public cloud platforms (AWS, GCP, Azure).

• Background in large‑scale data center architecture and infrastructure technologies.

• Contributions to open‑source projects or active participation in the data engineering community.

With competitive salaries and a comprehensive benefits package, NVIDIA is widely regarded as one of the most desirable technology employers in the world. Our teams are composed of some of the most forward‑thinking and driven engineers in the industry, and we continue to grow rapidly. If you are a senior data engineer passionate about building large‑scale, high‑impact data platforms, we’d love to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 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 April 10, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.