What we need to see: Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, Data Science, or a related field (or equivalent experience). Demonstrated experience of 5+ years in AI safety/security and offensive cybersecurity. Knowledge of AI (both model and infrastructure) vulnerabilities and effective mitigation strategies. In-depth understanding of LLM, MLLM, Generative AI, Agents and RAG workflows. Proven Python programming expertise Self-starter with a passion for growth, enthusiasm for continuous learning, and sharing findings across the team Extremely motivated, highly passionate, and curious about new technologies. Ways to stand out from the crowd: Hands-on experience designing and building software products, including infrastructure and system design. Knowledge of MLOps technologies such as Docker and Kubernetes. Familiarity with ML libraries (PyTorch, TensorRT, or TensorRT-LLM). With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us and, due to unprecedented growth, our special engineering teams are growing fast. If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear from you. 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.
