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

Nvidia

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Santa Clara, CAWestford, MADurham, NC
Salary
$152,000–$241,500 / yr
Posted
15 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $184k
This role $197k
$140k most similar roles pay here $252k

This role pays more than 52% of similar roles. Most pay $151,000–$216,618 — the shaded band above. At the midpoint, this role pays about $197k versus about $184k 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 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 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

As a Senior Full-stack Software Engineer – Verification Data and Visualization Platform on the Hardware Infrastructure team, you will architect and develop an event-driven data and visualization platform to support GPU development efforts. You will modernize front-end applications for diverse users, manage the full lifecycle of Java stack web applications, and build reliable microservices and AI agents. Your daily work involves developing real-time data processing pipelines using Kafka Streams, Apache Flink, and Spark Streaming while establishing best practices for schema management and platform observability. The role requires expertise in JavaScript, TypeScript, modern frontend frameworks, Redis, and distributed systems principles. You will solve complex hardware verification and data processing problems by building tools for tracking, anomaly detection, and debugging. Technical skills include experience with the Elastic Stack, OpenTelemetry, Docker, Kubernetes, and potentially LangChain or other agentic AI frameworks.

What you'll do

  • Modernize front-end applications to serve a diverse user base with complex requirements.
  • Manage the full life-cycle of Java stack web application development, testing, and deployment.
  • Build reliable, scalable microservices and AI agents for hardware infrastructure.
  • Develop and optimize real-time data processing pipelines using Kafka Streams, Apache Flink, and Spark Streaming.
  • Establish best practices for streaming data architecture, schema management, and platform observability.
  • Design and build complex data visualization tools and user-facing web applications.
  • Implement scalable data caching solutions using Redis to support high-throughput systems.

What we're looking for

  • Strong experience with JavaScript/TypeScript and modern frontend frameworks for building complex data visualization tools.
  • Expertise in designing, building, and debugging distributed Java stack applications, infrastructure, and microservices.
  • Deep understanding of Apache Kafka and experience building pipelines with Kafka Streams or Apache Flink.
  • Detailed knowledge of distributed systems principles, concurrency, data structures, and algorithms.
  • Deep understanding of scalable data caching solutions, specifically Redis.
  • Excellent planning, presentation, and communication skills.
  • A BS degree with 5+ years of relevant experience or an MS degree with 3+ years of relevant experience.

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