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.

NVIDIA's Finance AI & Data Science team is seeking a Senior AI Applications Engineer to build finance-friendly AI interfaces and scale generated prototypes into functioning, secure applications. You will work alongside data scientists, data engineers, and other business partners to create a world where non-technical finance employees can harness their domain expertise – and your software interface – to create, deploy, and manage AI agents specific to their daily work.

What you'll be doing:

• Own end-to-end delivery of key AI-powered finance applications, from concept and architecture through implementation, rollout, and ongoing improvements.

• Design and build intuitive UIs and abstraction layers that wrap existing business and developer tools, enabling non-technical employees to interact safely with AI agents and services.

• Integrate and secure AI tools, microservices, and MCPs ensuring robust authentication, authorization, and data governance.

• Translate prototypes and desktop applications created by finance citizen-developers (via low-code tools and AI code generation) into secure, scalable, maintainable software with proper testing, observability, and documentation.

• Identify patterns in diverse finance workflows that may indicate missing capabilities in our technical stack. Evaluate internal and third-party capabilities to fill these gaps, keeping NVIDIA finance on the cutting edge.

• Work closely with finance citizen-developers to understand their business requirements and processes, making sure solutions are intuitive and genuinely move the needle.

What we need to see:

• BS/MS or equivalent experience in Data Science, Economics, Computer Science, or similar technical field.

• 8+ years of experience building and deploying full-stack production software, including user-facing applications (web UIs and back-end services). 2+ years of experience with AI microservices, tools, and skills (Lang Chain, MCP, etc.).

• Excellent communication and organizational skills, including the ability to work directly with both business and technical partners.

Ways to stand out from the crowd:

• Experience with authentication and networking. Experience with software design, not just coding.

• Experience in corporate/strategic finance roles (e.g. FP&A, M&A, treasury) or adjacent areas.

• Experience deploying applications on AWS and/or Databricks. Experience with common code generation tools such as Cursor AI or Claude Code. Python (incl. Streamlit) + React preferred.

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 168,000 USD - 264,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until February 21, 2026.

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.