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:12 years of industry experience delivering scalable financial services. Education & Foundation: Bachelor's degree in Computer Science (or equivalent experience) with demonstrated proficiency in general-purpose programming languages. Distributed Systems Expertise: 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 Fin. Tech 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.