NVIDIA is an industry leader with groundbreaking developments in High-Performance Computing, Artificial Intelligence, and Visualization. The GPU, our invention, is at the heart of the AI revolution. Our work opens new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions, from artificial intelligence to autonomous cars. NVIDIA is seeking a technical leader to define, craft, implement, review, advise, and guide implementation of secure architectures for NVIDIA Artificial Intelligence (AI) / Machine Learning (ML) products, including Trusted Execution Environment architecture and other security architectures across the NVIDIA product line. You will take a strong hands-on role, working with diverse teams across NVIDIA and with external partners to define and meet security requirements for our innovative AI and ML projects. Exciting opportunities await the successful candidate to work collaboratively with technologies like NeMo, NeMo-Guardrails, BioNeMo, Morpheus, and Omniverse. What you’ll be doing:<ul><li>Help define the field of ML/AI security architecture.</li><li>Research, define, design, advise, develop, review, and implement architecture solutions meeting internal and external security requirements and standards.</li><li>Collaborate across the company to guide the direction of designing secure AI and ML products, working with hardware, software, research, IT, and product teams.</li><li>Architectural modeling, validation, definition, following standards bodies, and developing infrastructure enabling trusted platforms using hardware security methods.</li><li>Perform Product Cybersecurity assessments on projects of multiple NVIDIA product lines. Complete independent reviews on project work packages that are AI and ML specific.</li><li>Develop new attacks and defenses for ML/AI enabled applications.</li><li>Support the development of the Product Cybersecurity Training strategy and deliver cybersecurity trainings to increase awareness and understanding of security requirements, tools, processes, and technical standards for NVIDIA ML/AI systems.</li></ul>What we need to see:<ul><li>MS or PhD in Electrical Engineering, Computer Science, Computer Engineering, Artificial Intelligence, Data Science, Mathematics, Statistics, or equivalent experience.</li><li>8+ years of relevant work experience.</li><li>First-hand work with Machine Learning, Deep-Learning, or Artificial Intelligence.</li><li>Familiarity with current attacks on ML models, including adversarial examples, training data extraction, model extraction, and data poisoning.</li><li>Background with attacks on and attack surface of LLM-powered systems, including direct and indirect prompt injection, guardrail evasion, and tool abuse.</li><li>Experience using modern Deep Learning software architectures and frameworks like Jax or PyTorch</li><li>Experience with security development lifecycle processes and tools</li><li>Programming and debugging fundamentals across languages such as Python, C/C++</li><li>Strong communication skills and a real passion for working as a team are essential</li></ul>Ways to stand out from the crowd:<ul><li>Use of AI in vulnerability research or some other offensive domain</li><li>Experience analyzing AI-generated code for security issues</li><li>Demonstrated experience in MLops or Deep learning related infrastructure</li><li>Understanding of data science, statistical analysis, and visualization</li><li>Background of AI Trust principles and familiarity with application of ethical and safety perspectives to AI implementations</li></ul>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, we are increasingly known as “the AI computing company.” We are looking to grow our teams with the most resourceful people in the world. Security is a key foundation to all that we do at NVIDIA. If youre creative and autonomous, we want to hear from you!Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.<div><div><div><div><div><div><div>You will also be eligible for equity and <a href="https://www.nvidia.com/en-us/benefits/" target="_blank">benefits</a>.</div></div></div></div></div></div></div>Applications for this job will be accepted at least until October 5, 2025.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.