{"schemaVersion":"jobsearcher.job.v1","id":"3e4fd641309c6ae0e34f9798","url":"https://jobsearcher.com/jobs/3e4fd641309c6ae0e34f9798","canonicalUrl":"https://jobsearcher.com/jobs/3e4fd641309c6ae0e34f9798","title":"Senior Full-stack Software Engineer – Verification Data Platform","description":"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.\nWe 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.\nWhat you’ll be doing:\nParticipate in the full life-cycle of tool development, test, and deployment of web applications and services for test automation and chip verification.\nDevelop and optimize real-time data processing pipelines using Kafka Streams, Apache Flink and Spark Streaming, ensuring high throughput, reliability, and low-latency performance.\nCollaborate closely with hardware engineering and chip verification teams to understand data requirements and deliver robust, scalable data solutions and UIs\nEstablish optimal guidelines for streaming data architecture, schema management, data retention and platform observability (monitoring, logging, tracing).\nBuild microservices and AI agents that are reliable, scalable, and maintainable.\nWhat we need to see:\nProven in-depth knowledge of Java and Python.\nKnowledge of JavaScript/TypeScript and front-end frameworks (e.g., Ember.js, Vue.js) for building data visualization tools.\nExpertise in designing and building distributed systems and microservices.\nDeep understanding of Apache Kafka and proven experience building applications with Kafka Streams, Apache Flink or other event driven data pipelines.\nDetailed knowledge of distributed systems principles, concurrency, data structures, and algorithms.\nDeep understanding of the scalable data caching solution, specifically Redis\nExcellent planning, presentation, and communication skills.\nFamiliarity with Linux ecosystems (including development and debugging tools).\nBS/MS in Computer Science or related field (or equivalent experience), with 8+ years of experience for BS holders or 5+ years for MS holders.\nWays to stand out from the crowd:\nDeep knowledge of the Elastic Stack (Elasticsearch, Kibana, Logstash) for logging and analytics.\nExperience working with modern observability using OpenTelemetry (Grafana).\nExperience with building agentic AI frameworks, LLM-powered autonomous agents, or integrating LLMs with real-time data streams for automated analysis or decision-making.\nFamiliarity with chip design process and/or EDA verification workflows.\nWorking experience with modern OLAP solutions like ClickHouse.\nWidely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/\n\n#LI-Hybrid\nYour 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 Level 4, and 224,000 USD - 356,500 USD for Level 5.\nYou will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until March 16, 2026.\nThis posting is for an existing vacancy.\nNVIDIA uses AI tools in its recruiting processes.\nNVIDIA 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.","company":"NVIDIA","rawCompany":"nvidia","city":"Austin","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-07-23T14:36:05.119Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Full-stack Software Engineer – Verification Data Platform","description":"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.\nWe 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.\nWhat you’ll be doing:\nParticipate in the full life-cycle of tool development, test, and deployment of web applications and services for test automation and chip verification.\nDevelop and optimize real-time data processing pipelines using Kafka Streams, Apache Flink and Spark Streaming, ensuring high throughput, reliability, and low-latency performance.\nCollaborate closely with hardware engineering and chip verification teams to understand data requirements and deliver robust, scalable data solutions and UIs\nEstablish optimal guidelines for streaming data architecture, schema management, data retention and platform observability (monitoring, logging, tracing).\nBuild microservices and AI agents that are reliable, scalable, and maintainable.\nWhat we need to see:\nProven in-depth knowledge of Java and Python.\nKnowledge of JavaScript/TypeScript and front-end frameworks (e.g., Ember.js, Vue.js) for building data visualization tools.\nExpertise in designing and building distributed systems and microservices.\nDeep understanding of Apache Kafka and proven experience building applications with Kafka Streams, Apache Flink or other event driven data pipelines.\nDetailed knowledge of distributed systems principles, concurrency, data structures, and algorithms.\nDeep understanding of the scalable data caching solution, specifically Redis\nExcellent planning, presentation, and communication skills.\nFamiliarity with Linux ecosystems (including development and debugging tools).\nBS/MS in Computer Science or related field (or equivalent experience), with 8+ years of experience for BS holders or 5+ years for MS holders.\nWays to stand out from the crowd:\nDeep knowledge of the Elastic Stack (Elasticsearch, Kibana, Logstash) for logging and analytics.\nExperience working with modern observability using OpenTelemetry (Grafana).\nExperience with building agentic AI frameworks, LLM-powered autonomous agents, or integrating LLMs with real-time data streams for automated analysis or decision-making.\nFamiliarity with chip design process and/or EDA verification workflows.\nWorking experience with modern OLAP solutions like ClickHouse.\nWidely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/\n\n#LI-Hybrid\nYour 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 Level 4, and 224,000 USD - 356,500 USD for Level 5.\nYou will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until March 16, 2026.\nThis posting is for an existing vacancy.\nNVIDIA uses AI tools in its recruiting processes.\nNVIDIA 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.","datePosted":"2026-07-23T14:36:05.119Z","dateModified":"2026-07-23T14:36:05.119Z","hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"3e4fd641309c6ae0e34f9798"},"url":"https://jobsearcher.com/jobs/3e4fd641309c6ae0e34f9798"}}