Level

NVIDIA

Senior Software Engineer, Real-Time Data Platform

NVIDIA is hiring a Senior Software Engineer, Real-Time Data Platform in Munich, Germany. Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • Uses AI ●●○○ is how Level rates this software engineer role: an ordinary role that requires AI tools.
  • The posting mentions Java, Spring Boot and Docker among its tools and skills.
  • Level classes it as a senior role.
  • NVIDIA has 2,700+ other open roles on Level.
  • Posted in the last few days.

AI in this role

Design and build high-throughput real-time telemetry ingestion services using modern Java and distributed systems.

javaspring-bootdockerkuberneteskafkaaws
distributed-systemsbackendreal-time-datatelemetryagentic-engineering

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.

How we rate this

Senior Software Engineer, Real-Time Data Platform at NVIDIA rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Distributed SystemsBackendReal Time DataTelemetryAgentic EngineeringJavaSpring BootDocker

Also common in software engineer jobs at this level

Pay

Typical software engineer job
$168k

This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs

Questions you could be asked

  1. Tell me about a project where distributed systems was part of your work. What did you do?
  2. Tell me about a project where backend was part of your work. What did you do?
  3. Tell me about a project where real time data was part of your work. What did you do?
  4. Tell me about a project where telemetry was part of your work. What did you do?
  5. Tell me about a project where agentic engineering was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Distributed Systems, Backend, Real Time Data, Telemetry, and Agentic Engineering. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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