Senior Data Scientist - Security

About this role

We're looking for a Senior Data Scientist to join the AI cybersecurity team in the Security and Networking Architecture group. As a Senior Data Scientist you’ll have the opportunity to take an active part in the research and development of NVIDIA’s world-class networking and data center security products. This role involves creative problem solving alongside engineering teams, and is key for the continued success of AI networking security

What you’ll be doing: Developing agentic AI systems for security, combining generative models, RAG, and tool-augmented reasoning to automate threat analysis and response workflows. Optimizing and fine-tuning models for performance, scalability, and resource utilization, considering factors such as latency, efficiency, and cost. Developing, implementing and improving models and algorithms across media types, whether time series, images, text, audio or video

Leveraging data pipelines to efficiently process and transform large volumes of data for training and inference purposes. Applying alignment techniques and parameter efficient fine-tuning to improve model performance. Measuring and benchmarking model and application performance to drive improvements

Driving the gathering, building, and annotation of domain specific datasets for benchmarking and training. Collaborating closely with software and hardware engineers on new features and improvements. Participate in developing and reviewing code, design documents, use case reviews, and test plan reviews

What we need to see: MS/PhD with expertise in Computer Science, Computer Engineering, Electrical Engineering or related field with a focus on Deep Learning or Machine Learning. 5+ years of experience in deep learning and machine learning in a production environment. Excellent Python programming skills, strong software design fundamentals, and experience leveraging coding agents in development workflows

Hands-on experience with deep learning development frameworks and libraries (e.g

Apply for this role on NVIDIA’s official careers site.