Senior Real-Time Data Platform Engineer

NVIDIA Corporation

United States

Remote

USD 180,000 - 240,000

Full time

6 days ago
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Job summary

NVIDIA Corporation is seeking a Senior Software Engineer for the Telemetry Platform to design and operate real-time, high-throughput telemetry services that collect data from NVIDIA products worldwide. You will own production services, drive architecture for the data collection platform, and mentor engineers while participating in on-call incident management and observability initiatives.

Join a team focused on scalable infrastructure and robust data processing across global devices and

Qualifications

  • BS or MS in Computer Science, Engineering, or related field, or equivalent experience, and 7+ years building backend production services.
  • Deep expertise in Java (17+) and Spring Boot, including concurrency and performance profiling.
  • Strong distributed systems fundamentals and event-driven architecture.

Responsibilities

  • Design, build, and tune real-time, high-throughput telemetry services that ingest data worldwide.
  • Ensure ingestion durability with delivery guarantees, backpressure, and buffering.
  • Drive data-collection platform architecture, including schema management and shared libraries.
  • Lead design reviews, write documentation, and mentor engineers.
  • Own production services with on-call rotation and incident management.

Skills

Java 17+
Spring Boot
Distributed systems
Docker
Kubernetes
Apache Kafka
CI/CD
Observability
English fluency

Education

BS/MS in Computer Science or related field

Tools

Docker
Kubernetes
Apache Kafka
CI/CD tools

Job description

NVIDIA Corporation is seeking a Senior Software Engineer for the Telemetry Platform to design and operate real-time, high-throughput telemetry services that collect data from NVIDIA products worldwide. You will own production services, drive architecture for the data collection platform, and mentor engineers while participating in on-call incident management and observability initiatives.

Join a team focused on scalable infrastructure and robust data processing across global devices and

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