Senior Full-stack Software Engineer – Verification Data Platform

NVIDIA • Durham, NC

18h

About The Position

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are now looking for a Senior Full-stack web applications software architect to join our Hardware Infrastructure team! Our team is building the next-generation event-driven data platform to power NVIDIA's GPU development efforts. We deliver the high-availability infrastructure that powers real-time data processing, streaming analytics, and scalable data-driven applications. This platform is essential for the hardware engineering teams across the company, producing the core services used for real-time tracking, AI agents development, anomaly detection, and debugging of complex hardware verification and data processing flows.

Requirements

• Proven in-depth knowledge of Java and Python.
• Knowledge of JavaScript/TypeScript and front-end frameworks (e.g., Ember.js, Vue.js) for building data visualization tools.
• Expertise in designing and building distributed systems 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.
• Familiarity with Linux ecosystems (including development and debugging tools).
• BS/MS in Computer Science or related field (or equivalent experience), with 8+ years of experience for BS holders or 5+ years for MS holders.

Nice To Haves

• Deep knowledge of the Elastic Stack (Elasticsearch, Kibana, Logstash) for logging and analytics.
• Experience working with modern observability using OpenTelemetry (Grafana).
• Experience with building agentic AI frameworks, LLM-powered autonomous agents, or integrating LLMs with real-time data streams for automated analysis or decision-making.
• Familiarity with chip design process and/or EDA verification workflows.
• Working experience with modern OLAP solutions like ClickHouse.

Responsibilities

• Participate in the full life-cycle of tool development, test, and deployment of web applications and services for test automation and chip verification.
• 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 requirements and deliver robust, scalable data solutions and UIs
• Establish optimal guidelines for streaming data architecture, schema management, data retention and platform observability (monitoring, logging, tracing).
• Build microservices and AI agents that are reliable, scalable, and maintainable.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees