> Markdown version of [/jobs/ext/2279370-senior-full-stack-software-engineer-verification-data-and-visualization-platform](https://www.wearedevelopers.com/jobs/ext/2279370-senior-full-stack-software-engineer-verification-data-and-visualization-platform). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Full-stack Software Engineer - Verification Data and Visualization Platform - **Company:** NVIDIA Corporation - **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, Virtualization Technology, Web Applications, Web Application Frameworks, Data Logging, Large Language Models, Grafana, Concurrency, Containerization, Kubernetes, Apache Flink, Real Time Data, Apache Kafka, Spark Streaming, Virtual Agents, Kibana, Stream Processing, Data Pipelines, Docker, Data Caching, Microservices - **Published:** August 28, 2026 - **Apply:** https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Full-stack-Software-Engineer---Verification-Data-and-Visualization-Platform_JR2019652 ## About the Role * 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). What we need to see: * 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. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Debug a Kubernetes Operator](https://www.wearedevelopers.com/videos/487-debug-a-kubernetes-operator) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [Remote Driving on Plant Grounds with State-of-the-Art Cloud Technologies](https://www.wearedevelopers.com/videos/251-remote-driving-on-plant-grounds-with-state-of-the-art-cloud-technologies) - [Add Location-based Searching to Site with ElasticSearch](https://www.wearedevelopers.com/videos/77-add-location-based-searching-to-site-with-elasticsearch) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)