Senior Full-stack Software Engineer, Verification Data and Visualization Platform

Nvidia

Hybrid

Quick summary

Work type
Hybrid
Location
Santa Clara, CAWestford, MADurham, NC
Salary
$152,000–$241,500 / yr
Posted
4 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $194k
This role $197k
$137k most similar roles pay here $253k

This role pays more than 57% of similar roles. Most pay $166,100–$221,756 — the shaded band above. At the midpoint, this role pays about $197k versus about $194k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 950 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 939 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Senior Full-stack Software Engineer, Verification Data and Visualization Platform

Join our Hardware Infrastructure team as a Senior Full-stack Web Applications Software Architect to modernize front-end applications for a large customer base while participating in the full life cycle of tool development, including troubleshooting, testing, and deploying Java stack web applications. You will build reliable microservices and AI agents, develop real-time data processing pipelines using Kafka Streams, Apache Flink, and Spark Streaming, and collaborate closely with hardware engineering teams to deliver robust solutions. Key responsibilities include establishing best practices for streaming data architecture and ensuring platform observability. Ideal candidates have strong experience in JavaScript/TypeScript, modern frontend frameworks, distributed Java stack applications, and Apache Kafka, along with knowledge of Redis, the Elastic Stack, agentic AI frameworks, OpenTelemetry, Docker, Kubernetes, and chip design processes.

What you'll do

  • Modernize front-end applications to serve a large customer base with complex needs.
  • Develop microservices and AI agents that are reliable, scalable, and maintainable.
  • Optimize real-time data processing pipelines for high throughput and low latency.
  • Build distributed Java stack applications using Kafka Streams and Apache Flink.
  • Establish best practices for streaming data architecture and platform observability.

What we're looking for

  • Strong JavaScript/TypeScript and frontend framework expertise for complex data visualization tools.
  • Expertise in designing, building, and debugging distributed Java stack applications and microservices.
  • Proven experience with Apache Kafka, Kafka Streams, and other event-driven data pipelines.
  • Deep understanding of distributed systems principles, concurrency, and scalable caching solutions like Redis.
  • Experience with modern observability tools (Elastic Stack, OpenTelemetry) for monitoring and analytics.
  • Background in containerization and orchestration technologies such as Docker and Kubernetes.

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