Senior Security Engineer, AI/ML, National Security, Public Sector

Note: Google's hybrid workplace includes remote and in-office roles. By applying to this position you will have an opportunity to share your preferred working location from the following: In-office locations: Washington D.C., DC, USA; Fort Meade, MD, USA. Remote location(s): Maryland, USA.

: • Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field or equivalent practical experience. • 5 years of experience in AI/ML development, AI infrastructure engineering, or software development. • 5 years of experience with containerization (Docker) and orchestration (Kubernetes). • 5 years of experience with Python and with libraries like PyTorch, TensorFlow, or Hugging Face Transformers. • Ability to travel up to 25% of the time as needed. • Must possess an active Top Secret/SCI security clearance with current polygraph.

: • 5 years of experience in AI/ML research or software development. • Experience with LLM deployment frameworks such as vLLM, NVIDIA Triton, or Ollama and agent development. • Knowledge of open worldwide application security project (OWASP) for LLMs or similar security frameworks. • Familiarity with cloud-native AI services (e.g., cloud computing platform, Google Vertex AI). • Track record of deploying AI models on air-gapped or on-premises high-performance computing (HPC) systems. About The Job Our Security team works to create and maintain the safest operating environment for Google's users and developers. Security Engineers work with network equipment and actively monitor our systems for attacks and intrusions. In this role, you will also work with software engineers to proactively identify and fix security flaws and vulnerabilities. In this role, you will help us build the most resilient AI infrastructure in the world. This role is designed for a technical expert in Artificial Intelligence and Machine Learning, with a primary interest in how those systems can be defended against adversarial manipulation. You will be responsible for the security configuration of AI deployments, from local on-prem GPU clusters to cloud-native environments. You will understand the nuances of LLMs, neural networks, and containerized ML pipelines, and will apply that knowledge to the frontier of security. You will have an understanding of how Large Language Models (LLMs) work under the hood and to develop the next generation of automated defenses and adversarial testing frameworks. Applicants must work 5 days per week on-site in Fort Meade, Maryland Google Public Sector brings the magic of Google to the mission of government and