NVIDIA Corporation

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

NVIDIA Corporation$152K — $287K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Strong experience with JavaScript/TypeScript and modern frontend frameworks.
  • Expertise in designing, building, and debugging distributed Java stack applications and microservices.
  • Deep understanding of Apache Kafka and event-driven data pipelines like Kafka Streams or Apache Flink.
  • Detailed knowledge of distributed systems principles, concurrency, data structures, and algorithms.
  • Understanding of scalable caching solutions such as Redis.
  • Excellent planning, presentation, and communication skills.
  • BS (or equivalent experience) with 5+ years relevant experience, or MS with 3+ years relevant experience.

Responsibilities

  • Modernize front-end applications to meet complex customer needs.
  • Participate in the full life cycle of tool development, including troubleshooting and deployment.
  • Build reliable, scalable microservices and AI agents.
  • Develop and optimize real-time data processing pipelines with Kafka Streams, Apache Flink, and Spark Streaming.
  • Collaborate with hardware engineering and chip verification teams to align data and UI/UX requirements.
  • Establish best practices for streaming data architecture and platform observability.

Benefits

  • Comprehensive benefits package for you and your family.
  • Opportunity to work for a leading employer in the tech industry.
Full Job Description
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.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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