NVIDIA Corporation

Senior Data Application Engineer - Enterprise Data Management

NVIDIA Corporation • $168K — $310K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years of experience in Data & product management
  • Proven track record of deploying enterprise-grade AI or data solutions at scale
  • Experience in building knowledge frameworks for AI agent deployment
  • Familiarity with agentic AI workflows and production deployment
  • Strong foundation in master data management and data governance
  • Experience integrating data platforms with ERP solutions and data lakes
  • Working knowledge of supply chain and manufacturing data domains
  • Full stack experience with SQL, Python, PySpark; knowledge of React, Angular, NodeJs preferred
  • Bachelor's or Master's degree in Computer Science, Data Engineering, or equivalent

Responsibilities

  • Drive the end-to-end product vision for data observability
  • Design the architecture for the EDM data observability platform
  • Build and operationalize enterprise-grade agentic frameworks
  • Take full ownership from requirements through deployment
  • Ground observability decisions in supply chain business processes
  • Design and build foundational data infrastructure
  • Partner with EDM architects to define enterprise data governance artifacts
  • Champion AI-assisted software development methodologies

Benefits

  • Equity participation
  • Comprehensive benefits package
  • Flexible work arrangements
  • Opportunities for professional development
  • Supportive work culture focused on innovation
Full Job Description
We are seeking a highly motivated and experienced Senior Data Application Engineer, to join our Enterprise Data Management team. This is a role at the intersection of product strategy, data observability and AI enablement. You will define the product vision and architecture for NVIDIA's data integrity and observability capabilities. You will develop reusable frameworks deployable across business functions. You will also partner with senior EDM architects and business collaborators to scale trusted data across the enterprise.

What You'll Be Doing:
  • Product Roadmap - Drive the end-to-end product vision for data observability - defining what gets built, in what order, and why. Engage directly with business partners to surface areas of highest impact, translate difficulties into a prioritized roadmap, and maintain alignment with business from inception through execution.
  • Architecture and Framework - Design the architecture for EDM data observability platform with reusability as a first principle. Identify common data quality and integrity challenges across supply chain processes and build modular, configurable solutions that eliminate one-off implementations and accelerate onboarding of new business domains.
  • Agentic Frameworks - Design and deliver AI-powered observability capabilities by building and operationalizing enterprise-grade agentic frameworks - encompassing orchestration layers, tool-use patterns, and feedback loops - that enable self-healing data pipelines, automated anomaly detection and triage, and proactive surfacing of data integrity issues before they impact operations.
  • Delivery - Take full ownership from requirements through deployment - defining what gets monitored, how alerts are ranked by business impact, and how blocking issues are tracked and resolved. Drive accountability across engineering, data, and business teams to ensure data observability solutions are delivered on time and adopted at scale.
  • Supply Chain Experience - Ground every observability decision in a deep understanding of Hitech supply chain business processes -planning, procurement, manufacturing, operations, finance, sales - to ensure solutions address root causes, not symptoms. Build the data specifications, business glossaries, governance rules, and lineage maps that make observability meaningful and enterprise AI data agents trustworthy in production.
  • Design and build foundational data infrastructure powering EDM's data observability ecosystem. Large language model inferencing is the core engine for all observability and agentic capabilities. Design the inferencing stack - including model selection, prompt engineering standards, context window management, and output validation pipelines - ensuring LLMs are deployed in a way that is accurate, governed, and fit for enterprise use cases.
  • Data Governance Foundation - Partner with EDM architects and business to define the enterprise data governance artifacts that ensure both observability and AI reliability - including data assets, business glossaries, data quality rules, ownership, and process flows. Drive adoption of data ownership models that assign clear accountability for data quality at the domain level, so that issues surfaced by observability frameworks have a clear owner and resolution path.
  • AI-Led SDLC. Champion AI-assisted software development methodologies to drive high-quality, fast-paced delivery across the observability product portfolio


What We Need to See:
  • 10+ years of experience in Data & product management, with a track record of deploying enterprise-grade AI or data solutions at scale in a complex enterprise environment.
  • Experience building and owning knowledge frameworks for AI agent deployment, including data specifications, business glossaries, governance policies, lineage and process flows.
  • Working knowledge of enterprise data platforms: Databricks (Delta Lake, PySpark), Palantir, Informatica and ETL/ELT tools & pipeline patterns.
  • Familiarity with agentic AI workflows (LLM-based agents, RAG, orchestration frameworks) and experience deploying them in production for data quality, self-healing, or observability use cases.
  • Strong foundation in master data management , data quality and governance with experience integrating data platforms with ERP solutions, data lakes, enterprise applications and document repositories
  • Demonstrated ability to build senior stakeholder relationships across business, IT, and operations, including presenting complex technical concepts to non-technical audiences.
  • Working knowledge of supply chain and manufacturing data domains: Material Master, BOM, Supplier Data, Reference Data, and how they flow across planning and execution systems.
  • Experience in deploying software using CI/CD tools such as Jira, Jenkins, Git etc.
  • Full stack experience preferred with strong knowledge of sql, python, pyspark and working knowledge of React, Angular, NodeJs.
  • Bachelor's or Master's degree in Computer Science, Data Engineering, or equivalent experience in enterprise data architecture and product management.


Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 27, 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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