Senior Software Engineer, Real-Time Data Platform

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.