Principal Software Engineer, Full Stack

NVIDIA • Santa Clara, CA • 1h ago

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 looking for an experienced full-stack software engineer to join our FinOps team! The FinOps team is responsible for leading and optimizing the company's meaningful infrastructure spending across all major cloud service providers and on-premises AI factory environments. Their primary goal is to provide a single, unified system for financial accountability, delivering end-to-end transparency and control over diverse spend categories.

What you will be doing:

Lead architecture and delivery of high-scale web applications across front end, services, and data with clear reliability and performance targets (SLOs/SLAs).

Own multi-team initiatives end to end: discovery, RFCs/design reviews, phased rollouts, and measurable impact on product and business outcomes.

Establish engineering standards, reusable platforms/design systems, and microservice/event patterns that reduce complexity and long-term tech debt.

Mentor and sponsor engineers; improve code quality, testing, security, and observability through reviews, pairing, and mentoring.

Partner with product, design, data, and security to shape roadmaps, align trade-offs, and de-risk critical launches.

What we need to see:

BS/MS/PhD in Computer Engineering, Computer Science or equivalent experience.

15+ years of software engineering experience delivering production web systems

Data engineering experience with large-scale data lakes; proven ability to build and operate pipelines over very large datasets and support OLAP workloads at scale.

Shows strong collaborator engagement through active listening, clear translation of complex use cases into technical requirements and features, and creating data models aligned with business logic and outcomes.

Cloud expertise (AWS/GCP/Azure), infrastructure as code, containers, and orchestration (Docker/Kubernetes); mature CI/CD and safe deploy strategies.

Depth across the stack: modern SPA frameworks (React/Next.js or Vue/Nuxt), TypeScript/JavaScript, and one or more back-end languages (Node.js, Java, or Python).

Proficient in API design (REST and/or GraphQL), schema evolution, and integration patterns, with a strong commitment to rigorous automated testing practices.

Clear written and verbal communication and drives alignment via design docs

Experience using AI tools, e.g. Cursor to improve efficiently on delivery of solid production code.

Ways to stand out from the crowd:

Hands-on experience with cloud cost optimization and building tools around these areas.

Develop and implement end-to-end FinOps strategies with a strong understanding of cloud billing systems and the FOCUS schema.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 248,000 USD - 391,000 USD.

You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/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.

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