Staff Software Engineer, AI/ML, Google Cloud Security

Google•Reston, VA

22h•$207,000 - $300,000

About The Position

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The Defense and Consulting Engineering team within Google Cloud Security is on a relentless mission to make organizations secure against cyber threats, confident in their readiness, and know they are never alone. We are at the forefront of the Agentic SOC strategy, revolutionizing how security organizations defend against emerging threats, accelerating customer time-to-value, and cultivating an intelligent ecosystem to optimize security workflows. Our team is passionate about giving the defender's advantage to find evil in the most advanced attacks, being incredibly efficient in their work and leveraging exceptional technologies and threat intelligence. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits Learn more about benefits at Google [https://www.google.com/about/careers/applications/benefits/].

Requirements

Bachelor’s degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
3 years of experience leading technical projects and providing technical leadership to cross-functional teams.
Experience integrating generative AI tools or LLM interfaces into workflows.

Nice To Haves

Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
3 years of experience in a technical leadership role leading project teams and setting technical direction.
Experience with Generative AI, Agentic AI, and Large Language Models (LLMs).
Experience in scalable and available distributed systems, cloud services, or data platforms.
Experience establishing organization-wide LLM evaluation, safety, and alignment frameworks.
Experience in the security domain, applying AI to security operations.

Responsibilities

Provide technical leadership on high-impact projects. Manage project priorities, deadlines, and deliverables.
Lead the integration of AI into both products and engineering practices, driving business and platform evolution.
Drive the strategy and design of security systems that provide defenders with advanced, AI-powered automation to seamlessly detect, manage and resolve complex security events.
Lead the technical design of a scalable platform where security teams can discover, deploy, and generate intelligent integrations, unifying and optimizing their end-to-end SOC workflows.
Oversee the engineering of self-service architectures and AI-based onboarding and adoption, minimizing friction and accelerating time-to-value for new customers.