Data Science, AI, Security and Networking Research Student

We're looking for a student with experience in Data Science and AI to join a group that specializes in AI Security and Safety, within Networking Cybersecurity. As an Data Science & AI student in Networking Cybersecurity you’ll have the opportunity to take an active part in the research and development of NVIDIA’s world-class networking and data center products. This role involves creative problem solving alongside security and engineering teams, and is key for the continued success of AI networking security. What you’ll be doing: Participating in e2e development of AI solutions for security and safety, including implementing and improving agents, models and algorithms. Collaborating closely with software and hardware engineers on new and diverse AI-driven solutions that include deep learning, vision, LLMs, VLMs, agents, time series and classic ML. Optimizing and fine-tuning agents and models for performance, scalability, and resource utilization, considering factors such as latency, efficiency, and cost. Measuring and benchmarking performance to drive improvements. Creating efficient flywheels for feedback and improvement. Participating in developing and reviewing code, design documents, use case reviews, and test plan reviews. What we need to see: MSc student with expertise in Computer Science, Computer Engineering, Electrical Engineering or related field with a focus on AI, Deep Learning or Machine Learning. Experience in deep learning and machine learning in a production environment. Experience with developing agents and agentic workflows. Software development experience, including excellent programming skills in Python with software design fundamentals. Hands-on experience with deep learning development frameworks and libraries (e.g. TensorFlow, PyTorch). Experience with VLMs, LLMs, agents, RAG and MCP. Algorithm development experience, with knowledge of inference optimization techniques such as model fine tuning, distillation, quantization, pruning. Experience with algorithms including zero/few-shot learning, self-supervised and unsupervised learning, synthetic data creation. You are proactive, take full ownership of your deliverables, have a can-do approach, and are excited to learn, explore and apply your skills and creativity to some of the most challenging and rewarding problems in the field. What will make you stand out from the crowd: Experience with large scale production systems and pipelines and with developing production-grade models Familiarity with GPU based technologies like CUDA, CuDNN and TensorRT. Experience with tools for data processing and storage (e.g. Apache Spark, Hadoop, SQL databases, NoSQL databases). Security and networking background, with knowledge of security protocols, network architectures, firewalls, intrusion detection systems, and other relevant security and networking concepts 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.