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

NVIDIA•Durham, NC

12d•$152,000 - $287,500•Hybrid

About The Position

NVIDIA is seeking a Senior Full-stack web applications software architect to join its Hardware Infrastructure team. This team is responsible for building the next-generation event-driven data and visualization platform to support NVIDIA's GPU development. They provide high-availability infrastructure for real-time data processing, streaming analytics, and scalable data-driven applications. This platform is crucial for hardware engineers and management, offering core services for real-time tracking, AI agent development, anomaly detection, and debugging of complex hardware verification and data processing flows.

Requirements

Strong experience with JavaScript/TypeScript and modern frontend frameworks--building complex data visualization tools and user-facing web applications.
Expertise in designing, building, and debugging distributed Java stack applications, infrastructure and microservices.
Deep understanding of Apache Kafka and proven 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 the scalable data caching solution, specifically Redis.
Excellent planning, presentation, and communication skills.
BS degree (or equivalent experience) with 5+ years of relevant experience, MS degree with 3+ years of relevant experience.

Nice To Haves

Demonstrable knowledge of the Elastic Stack (Elasticsearch, Kibana, Logstash) for logging and analytics.
Experience with agentic AI frameworks (e.g., LangChain), building LLM-powered autonomous agents, or integrating LLMs with real-time data streams for automated analysis or decision-making.
Experience working with modern observability using OpenTelemetry (Grafana).
Background with containerization and orchestration (Docker, Kubernetes).
Some experience with or understanding of the chip design process and/or EDA verification workflows.

Responsibilities

Front end application modernization to serve a large and diverse customer base with complex concerns.
Participate in the full life-cycle of tool development, end-to-end environment troubleshooting, test, and deployment of Java stack web applications.
Build microservices and AI agents that are reliable, scalable, and maintainable.
Develop and optimize real-time data processing pipelines using Kafka Streams, Apache Flink and Spark Streaming, ensuring high throughput, reliability, and low-latency performance.
Collaborate closely with hardware engineering and chip verification teams to understand data and UI/UX requirements and deliver robust, scalable solutions.
Establish best practices for streaming data architecture, schema management, data retention and platform observability (monitoring, logging, tracing).