NVIDIA is looking for a Software Engineer to join our Data & Observability Platform team within the Hardware Infrastructure organization. You will build and maintain the foundational services and tools that collect metrics, logs, and hardware telemetry from our global compute clusters, enabling internal AI workflows and platform health monitoring.

What You'll Do

Build and maintain high-throughput services that collect and process metrics, logs, and hardware telemetry from compute clusters.
Design and deploy internal web applications, tools, and APIs to configure data pipelines, visualize platform health, and integrate AI workflows.
Contribute to modernizing the Data Platform, ensuring it aligns with industry trends and supports our unique needs.
Manage the deployment and lifecycle of services on Kubernetes and Cloud.
Partner with users to refactor data schemas, identify latency bottlenecks, and apply storage patterns to reduce operational costs.
Ensure high platform availability through detailed on-call practices and proactive monitoring of complex data dependencies.

What We're Looking For

BS or MS in Computer Science, Electrical Engineering, or a related technical field or equivalent experience.
2+ years of experience writing production-grade code.
High proficiency in Python or Java/Scala, with an emphasis on writing testable, performant, and asynchronous code.
A deep understanding of Distributed Systems and Linux internals.
Experience building end-to-end features from the ground up, including backend APIs development and schemas to implementing functional frontends.
Proficiency in SQL and an understanding of data modeling, read/write tradeoffs, query execution patterns, and optimized data formats.
Comfortable debugging production issues, distributed traces, and memory leaks in a high-scale environment.
Ability to break down ambiguous problems into simpler, executable components in a fast-paced environment.

Nice to Have

Experience with frameworks/tools like Spark, Kafka, Trino. Familiarity with partition strategies, offset management, and backpressure.
Hands-on experience with Kubernetes, service deployments, Infrastructure as Code (Terraform), and cloud administration.
Familiarity with Prometheus, Grafana, or OpenSearch, and the ability to build custom exporters or telemetry dashboards.
Experience with HPC environments, semiconductor build workflows, or handling large-scale hardware telemetry.

Technical Stack

Languages: Python, Java, Scala, SQL
Frameworks & Tools: Spark, Kafka, Trino
Infrastructure: Kubernetes, Terraform
Observability: Prometheus, Grafana, OpenSearch

Team & Environment

This role is part of the Data & Observability Platform team within NVIDIA's Hardware Infrastructure organization.

Benefits & Compensation

Compensation: $124,000 USD - $195,500 USD for Level 2, and $152,000 USD - $241,500 USD for Level 3.
Eligible for equity.
Comprehensive benefits package.

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.