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

at Nvidia

USD 152,000-287,500 per year

SENIOR

✅ Hybrid

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 4 Agentic AI @ 4 Algorithms @ 4 Communication @ 6 Data Pipelines @ 7 Data Structures @ 4 Data Visualization @ 7 Debugging @ 6 Distributed Systems @ 4 Docker @ 4 ElasticSearch @ 4 Flink @ 7 GPU Grafana @ 4 Java @ 6 JavaScript @ 7 Kafka @ 7 Kibana @ 4 Kubernetes @ 4 LLM @ 4 LangChain @ 4 Microservices @ 6 Observability @ 4 OpenTelemetry @ 4 Redis @ 7 Spark Spark Streaming TypeScript @ 7 UI/UX @ 4

Details

NVIDIA is seeking a senior full-stack web applications software architect to join its Hardware Infrastructure team. The team is building an event-driven data and visualization platform that supports GPU development efforts, real-time data processing, streaming analytics, scalable data-driven applications, AI agent development, anomaly detection, and debugging of hardware verification and data processing flows.

Responsibilities

Modernize front-end applications for a large and diverse customer base with complex requirements.
Participate in the full life cycle of tool development, including end-to-end environment troubleshooting, testing, and deployment of Java-stack web applications.
Build reliable, scalable, and maintainable microservices and AI agents.
Develop and optimize real-time data processing pipelines using Kafka Streams, Apache Flink, and Spark Streaming.
Collaborate 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, including monitoring, logging, and tracing.

Requirements

Strong experience with JavaScript/TypeScript and modern frontend frameworks, including building complex data visualization tools and user-facing web applications.
Expertise 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 scalable data caching solutions, specifically Redis.
Excellent planning, presentation, and communication skills.
Bachelor's degree or equivalent experience with at least 5 years of relevant experience, or a master's degree with at least 3 years of relevant experience.

Preferred Qualifications

Knowledge of the Elastic Stack, including Elasticsearch, Kibana, and Logstash, for logging and analytics.
Experience with agentic AI frameworks such as LangChain, building LLM-powered autonomous agents, or integrating LLMs with real-time data streams for automated analysis or decision-making.
Experience with modern observability using OpenTelemetry and Grafana.
Experience with containerization and orchestration using Docker and Kubernetes.
Understanding of the chip design process and/or EDA verification workflows.

Benefits

NVIDIA offers equity, benefits, and a comprehensive benefits package. The position is hybrid. Applications will be accepted at least until June 28, 2026.