Senior Full-stack Software Engineer – Verification Data Platform

Senior Full-Stack Web Applications Software Architect

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.

• 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.

• Proven in-depth knowledge of Java and Python.
• Knowledge of JavaScript/Type Script 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.

• Deep knowledge of the Elastic Stack (Elasticsearch, Kibana, Logstash) for logging and analytics.
• Experience working with modern observability using Open Telemetry (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 Click House.

Benefits:
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is $184,000 USD - $287,500 USD for Level4, and $224,000 USD - $356,500 USD for Level
5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until March
16,2026.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.