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 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.
What you’ll be doing:
Participate in the full life-cycle of tool development, test, and deployment of web applications and services for test automation and chip verification.
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 requirements and deliver robust, scalable data solutions and UIs
Establish optimal guidelines for streaming data architecture, schema management, data retention and platform observability (monitoring, logging, tracing).
Build microservices and AI agents that are reliable, scalable, and maintainable.
What we need to see:
Proven in-depth knowledge of Java and Python.
Knowledge of JavaScript/TypeScript and front-end frameworks (e.g., Ember.js, Vue.js) for building data visualization tools.
Expertise in designing and building distributed systems 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.
Familiarity with Linux ecosystems (including development and debugging tools).
BS/MS in Computer Science or related field (or equivalent experience), with 8+ years of experience for BS holders or 5+ years for MS holders.
Ways to stand out from the crowd:
Deep knowledge of the Elastic Stack (Elasticsearch, Kibana, Logstash) for logging and analytics.
Experience working with modern observability using OpenTelemetry (Grafana).
Experience with building agentic AI frameworks, LLM-powered autonomous agents, or integrating LLMs with real-time data streams for automated analysis or decision-making.
Familiarity with chip design process and/or EDA verification workflows.
Working experience with modern OLAP solutions like ClickHouse.
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/
Your 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.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 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.Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
