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

Nvidia

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Hybrid

Quick summary

Work type: Hybrid
Location: Santa Clara, CAWestford, MADurham, NC
Employment: Full-time
Posted: 61 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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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 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

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

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Senior Full-stack Software Engineer – Verification Data and Visualization Platform joins the Hardware Infrastructure team to build a next-generation event-driven data and visualization platform for GPU development. This role involves front end application modernization, developing microservices, and building AI agents to support real-time tracking, anomaly detection, and debugging of complex hardware verification flows. You will develop and optimize real-time data processing pipelines and establish best practices for streaming data architecture and platform observability. Required technical skills include JavaScript, TypeScript, modern frontend frameworks, and expertise in distributed Java stack applications. You must demonstrate proficiency with Apache Kafka, Kafka Streams, Apache Flink, Spark Streaming, and Redis. The work involves solving complex hardware verification and data processing problems by delivering high-availability infrastructure for hardware engineering and management teams.

Skills

Java JavaScript TypeScript Kafka Apache Flink Spark Streaming Redis Docker Kubernetes LangChain OpenTelemetry Elasticsearch Kibana Logstash Grafana Microservices Data Visualization

What you'll do

Modernize front-end applications to serve a large customer base with complex requirements.
Manage the full life-cycle of Java stack web applications including troubleshooting, testing, and deployment.
Build reliable, scalable, and maintainable microservices and AI agents.
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 debug distributed systems, infrastructure, and scalable data caching solutions using Redis.
Translate hardware engineering and chip verification requirements into robust UI/UX and data solutions.

What we're looking for

BS degree with 5+ years of relevant experience or an MS degree with 3+ years of relevant experience.
Strong experience with JavaScript/TypeScript and modern frontend frameworks for building complex data visualization tools and web applications.
Expertise in designing, building, and debugging distributed Java stack applications, infrastructure, and microservices.
Deep understanding of Apache Kafka and experience building applications with Kafka Streams, Apache Flink, or other event-driven data pipelines.
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.
Experience with agentic AI frameworks, LLM integration, Elastic Stack, OpenTelemetry, Docker, Kubernetes, or chip design processes (preferred).

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