Director, Scalable Fraud Tech & ML Platform

NVIDIA; United States; On-site; USD 180,000 - 240,000; Full time

Job summary

NVIDIA is seeking a Technical Fraud Director to define the technical direction for scalable fraud technology and platforms used to detect, prevent, investigate, and decision fraud patterns across customers.

The role intersects fraud prevention, ML, data engineering, security, risk, and distributed systems, requiring leadership across multiple engineering and data teams. You will shape reusable capabilities and drive rapid translation of fraud patterns into production-ready solutions.

Qualifications

• 15+ years of progressive software engineering experience.
• 6+ years of leadership in large, cross-functional organizations.
• Deep expertise in fraud technology, risk systems, or security engineering.
• Experience building platforms, APIs, and production ML/decisioning systems.
• Strong understanding of detection methodologies and real-time data processing.

Responsibilities

• Define the technical direction for scalable fraud technology and platforms.
• Lead strategy, architecture, and roadmap for detection, prevention, and investigation systems.
• Collaborate with Data Science, ML Engineering, Product, and Customer teams.
• Translate fraud signals into production rules, models, and workflows.
• Lead technical root-cause analysis and drive improvements to detection logic.

Skills

Technical leadership

Fraud technology

Distributed systems

Machine learning

Data engineering

Risk systems

Architecture design

Cross-functional collaboration

Education

Bachelor's or Master's in CS/Engineering/Math

Tools

APIs

ML pipelines

Job description

NVIDIA is seeking a Technical Fraud Director to define the technical direction for scalable fraud technology and platforms used to detect, prevent, investigate, and decision fraud patterns across customers.

The role intersects fraud prevention, ML, data engineering, security, risk, and distributed systems, requiring leadership across multiple engineering and data teams. You will shape reusable capabilities and drive rapid translation of fraud patterns into production-ready solutions.