At NVIDIA, our Financial Systems Engineering team is at the heart of ensuring that our massive scale operates with zero friction. We are responsible for architecting and operating the end-to-end financial data lifecycle, from ingestion to reporting. Our mission is to build high-speed rails for NVIDIA's revenue, ensuring transactional integrity, idempotency, and financial accuracy across distributed systems. This team is not just about IT support; we are the guardians of financial reliability and innovation, driving zero-touch automation and enabling NVIDIA to operate at peak efficiency.
What You'll Be Doing:
End-to-End System Design: Design, deploy, and maintain scalable software services that ensure transactional integrity and manage the high-volume ingestion of billions of metering events.
Financial Logic & Compliance: Develop complex rating engines for multi-dimensional pricing while integrating external tax engines to ensure global accuracy and regulatory compliance.
Invoicing & Reporting: Build and maintain pipelines for generating immutable, localized PDF invoices that meet strict regulatory requirements.
Collaboration & Delivery: Partner with cross-disciplinary teams to translate business needs into software solutions, managing project priorities to ensure timely delivery.
What We Need to See:
Bachelor's degree in Computer Science (or equivalent experience) with demonstrated proficiency in general-purpose programming languages.
Distributed Systems Expertise: 6+ years of experience building scalable data pipelines using high-volume streaming platforms (Kafka) and processing frameworks (Spark or Flink).
Agility & Initiative: Strong self-initiative with the interpersonal skills to collaborate effectively and the agility to adapt to new technologies quickly.
Ways to Stand Out from the Crowd:
Advanced Experience: Master's degree with 5–10 years of experience building large-scale applications, specifically within the Billing, Payments, or FinTech domains.
Technical Stack Mastery: Strong coding experience in Golang and Java.
Cloud Native Operations: Deep expertise with Public Cloud (AWS preferred), including Kubernetes, Docker, CI/CD, observability, and reliability engineering.
You will also be eligible for equity and benefits.
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.Similar Jobs
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
