Senior Software Engineer, Real-Time Data Platform

NVIDIA

Munich, Germany
Salary not disclosed
Employment type: Full-time
Level: Senior

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NVIDIAPosted on the employer’s careers page · nvidia.wd5.myworkdayjobs.com

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Description (EN)

Are you ready to tackle sophisticated distributed systems challenges at scale? Our Telemetry Platform team is looking for a Senior Software Engineer to help us build and evolve the services that collect and process data from millions of NVIDIA users worldwide. If you love working on high-impact infrastructure, we want to hear from you!

What you will be doing:

Design, build, and tune real-time, high-throughput services that ingest, validate, and route telemetry events from NVIDIA products worldwide.
Make ingestion durable end to end (delivery guarantees, backpressure, persistent buffering, graceful degradation) so data survives component failures.
Drive architecture for the data collection platform, including schema management and shared libraries for metrics, tracing, and configuration.
Lead design reviews, write clear documents, and mentor other engineers.
Own the services you build in production, including a shared on-call rotation and incident management.

What we need to see:

BS or MS in Computer Science, Engineering, or a related field, or equivalent experience, and 7+ years building backend services that run in production.
Deep expertise in modern Java (17+) and Spring Boot, including concurrency, the Java Memory Model, and performance profiling.
Strong distributed systems fundamentals (microservices, event-driven architecture, delivery semantics, failure handling).
Experience running large-scale services with Docker, Kubernetes, and message brokers (Apache Kafka preferred) on AWS or another major cloud.
Hands-on experience with automated testing, CI/CD, and production observability.
Proficiency in agentic engineering (AI coding agents).
Fluent English.

Ways to stand out from the crowd:

Production experience with reactive, non-blocking Java (Project Reactor, Spring WebFlux, Netty).
Background in telemetry, analytics, or high-volume data ingestion.
Experience with schema management for event data: schema registries, validation, and compatible schema evolution.
Security and privacy fundamentals: authentication and authorization (OAuth 2.0, JWT), network and cloud security, and privacy regulations such as GDPR.

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Published 3 days ago