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# Senior Full-stack Software Engineer - Verification...

- **Company:** NVIDIA Ltd.
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $152,000.0 - $241,500.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Artificial Intelligence, Data Analysis, Computer Engineering, Data Retention, Data Structures, Data Visualization, Software Debugging, Distributed Systems, Elasticsearch, Event-Driven Programming, Design of User Interfaces, Redis, Logstash, Data Streaming, TypeScript, Web Applications, Web Application Frameworks, Data Logging, Large Language Models, Grafana, Concurrency, Software Application Programming, Containerization, Kubernetes, Low Latency, Apache Flink, Real Time Data, Apache Kafka, Spark Streaming, Virtual Agents, Kibana, Stream Processing, Data Pipelines, Docker, Data Caching, Microservices
- **Published:** June 26, 2026
- **Apply:** https://www.juju.com/job/00000000gb3zzt

## About the Role

+ 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.

Ways to stand out from the crowd:

 + 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.

## Description

+ 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).


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