Senior Full Stack Engineer — Finance Analytics Platform and AI Integration

NVIDIA • Santa Clara, CA

15h

About The Position

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 seeking an exceptional Senior Full Stack Engineer to join our Sales Finance Analytics team. As an integral member of the FP&A organization, you will help us build a modern internal platform that centralizes and showcases our data products—making it easy for teams across the company to discover, understand, and use trusted finance analytics through reports, dashboards, and AI-assisted reporting agents. Our mission is to deliver the highest caliber of relevant financial and business analysis that is both insightful and measurable, enabling effective decision-making at all levels of the company and improving financial performance. This is a critical position within the Finance organization and a highly visible role. We are looking for an energetic, product-minded engineer with great attention to detail who thrives on inspiring change and impacting the business in a dynamic, fast-paced environment. You’ll be expected to own features end-to-end across the stack (UI, APIs, and data-backed workflows), while partnering closely with our data engineering and IT/security teams on platform foundations (e.g., SSO, environment provisioning, and governed access to sensitive data).

Requirements

• 8+ years of professional software engineering experience, with 4+ years building and shipping full stack web applications end-to-end.
• Proficiency in employing AI coding tools like Cursor or Claude Code at implementing prototypes and testing.
• Strong proficiency with modern front-end development (e.g., React + TypeScript) and building clean, accessible, high-quality user interfaces.
• Strong proficiency with backend development (e.g., Node.js/TypeScript or Python) including RESTful APIs, authentication/authorization patterns, and service design.
• Experience integrating with enterprise identity (SAML/SSO), secure handling of sensitive data, and audit trails.
• Demonstrated ability to build internal tools and workflows (CRUD + approval flows + change history) that support operational business processes.
• Excellent communication skills and a track record of partnering with non-engineering stakeholders (Finance, Ops, IT/Security) to deliver outcomes.
• Bachelor’s degree or equivalent experience in Computer Science, Engineering, Information Systems, or a related field.

Nice To Haves

• Experience building analytics portals or data product catalogs that organize dashboards, definitions, and data lineage in a governed way.
• Experience with Databricks integrations (workspace navigation patterns, job/run linking, secrets usage patterns) and working alongside data engineering teams.
• Familiarity with observability (structured logging, tracing, metrics) and operating internal web apps with strong reliability expectations.

Responsibilities

• Build and own a Finance Analytics Discoverability & Data Management Platform: an internal web application that serves as the front door to Sales Finance Analytics — a single place to discover and use dashboards, reporting agents, reference materials, and operational tools. Our signature use-case is building seamless experiences where conversational AI reporting agents and BI dashboards work side-by-side on the same data. Managing security interactions between in cross-platform applications.
• Design, build, and maintain mapping applications that capture business rules used across close and analytics (e.g., customer and party-in-chain mappings such as groupings, classifications, with validations, workflow and get comfortable to move simple things off of excel.
• Implement robust data input workflows for mappings and data management screens, including both individual record entry/editing and bulk updates (e.g., copy/paste “data dumps” and file-based imports) with guardrails: validation, preview/diff, error reporting, and safe rollback where appropriate.
• Partner with data engineering and analytics teams to connect the UI to reliable backend services (APIs, databases, event logs) and to align on data contracts and operational SLAs.
• Establish engineering protocols: code reviews, automated testing, CI/CD, observability, and performance tuning for a responsive and reliable internal product.
• Work closely with Finance partners to translate ambiguous asks into well-scoped product increments; iterate quickly while maintaining high standards for quality, security, and maintainability.

Benefits

• 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/

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level