NVIDIA Logo

NVIDIA

Senior Full-stack Software Engineer – Verification Data and Visualization Platform

Posted Yesterday
Be an Early Applicant
In-Office
Santa Clara, CA, USA
152K-288K Annually
Senior level
In-Office
Santa Clara, CA, USA
152K-288K Annually
Senior level
Design, build, and modernize full‑stack web applications and microservices for a real‑time event-driven data and visualization platform. Develop and optimize streaming data pipelines (Kafka, Flink, Spark), integrate observability, caching (Redis), and AI agents, and collaborate with hardware verification teams for scalable, low-latency solutions.
The summary above was generated by AI

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 and visualization 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 hardware engineers and management 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.

What you’ll be doing:

  • Front end application modernization to serve a large and diverse customer base with complex concerns.

  • 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.

  • 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.

Widely 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/ 
#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 28, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

HQ

NVIDIA Santa Clara, California, USA Office

2701 San Tomas Expressway, Santa Clara, CA, United States, Santa Clara

Similar Jobs

2 Hours Ago
Hybrid
Senior level
Senior level
Consumer Web • eCommerce • Information Technology • Retail • Software • Analytics • App development
Provide high-level administrative, logistical, and confidential support to Vice President(s): manage calendars and travel, prepare presentations and reports using advanced MS Office skills, coordinate events and onboarding, handle budgets/expense reports, act as liaison with internal and external stakeholders, and perform research and delegation to enable executive productivity.
Top Skills: ExcelMicrosoft Office SuiteMicrosoft PowerpointMicrosoft Word
2 Hours Ago
Hybrid
Senior level
Senior level
Consumer Web • eCommerce • Information Technology • Retail • Software • Analytics • App development
Provide high-level administrative, logistical, and operational support to a Vice President, including calendar management, executive communications, travel coordination, event logistics, reporting, and confidential information handling. Prepare presentations, spreadsheets, and departmental expense/budget support, and act as primary liaison with internal and external stakeholders to enable VP effectiveness.
Top Skills: ExcelMicrosoft Office SuiteMicrosoft OutlookMicrosoft PowerpointMicrosoft Word
Senior level
Consumer Web • eCommerce • Information Technology • Retail • Software • Analytics • App development
Lead development and maintenance of sales enablement assets (pitch decks, playbooks, one-pagers, training materials) to drive LMN commercialization. Partner cross-functionally with media strategy, client services, campaign management, and revenue operations to align go-to-market execution, support program rollouts, monitor revenue performance, and create compelling presentations that improve sales effectiveness and adoption of media solutions.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account