Senior Full-stack Software Engineer – Verification Data and Visualization Platform
NVIDIA · US, CA, Santa Clara ·
- Seniority
- Senior
- Category
- Fullstack
- Experience
- 3+ years
NVIDIA · US, CA, Santa Clara ·
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
#LI-Hybrid
You will also be eligible for equity and benefits.
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.