Staff Software Engineer, AI/ML, Google Cloud Security

Google; Reston (VA); On-site; USD 207,000 - 301,000; Full time

Job summary

Google is seeking a Staff Software Engineer specializing in AI/ML within Google Cloud Security, located in Reston, VA. This role focuses on high‑impact ML design, scalable deployments, and cross‑functional technical leadership to advance AI‑driven security solutions.

You will influence product roadmaps and collaborate across teams on large‑scale infrastructure and AI initiatives. The position offers a competitive US salary range with equity and benefits, and opportunities to work on

Qualifications

• : 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 with software design and architecture.
• : 5 years of experience with ML design and infrastructure (model deployment, 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.

Responsibilities

• : Provide technical leadership on high‑impact projects and manage priorities, deadlines, and deliverables.
• : Facilitate alignment across teams, clarify goals, outcomes, and timelines, and coach a distributed team of engineers.
• : Lead the design and implementation of solutions in specialized ML areas, optimize infrastructure, and guide model optimization and data processing strategies.
• : Establish strategic partnerships with stakeholders to define long‑term product outlooks and technology roadmaps.
• : Lead the integration of AI into product solutions and engineering practices, accelerating AI velocity across the organization.

Skills

ML design

Model deployment

Data processing

Technical leadership

Cross-functional collaboration

Generative AI integration

LLMs

Education

Bachelor's degree

Master's degree

PhD

Tools

Google Cloud Platform (GCP)

Vertex AI

TPUs

Job description

Staff Software Engineer, AI/ML, Google Cloud Security

Location: Reston, VA, USA; New York, NY, USA

Minimum qualifications

• 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 with software design and architecture.
• 5 years of experience with ML design and infrastructure (model deployment, 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.

Preferred qualifications

• Master’s degree or PhD in Engineering, Computer Science, or related technical field.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• Experience in highly scalable and available distributed systems, cloud services or data platforms.
• Experience with Generative AI, Agentic AI, and Large Language Models (LLMs).
• Experience with major cloud platforms, e.g., Google Cloud Platform (GCP).
• Experience in the security domain.

About the job

Google’s software engineers develop next‑generation technologies that change how billions of users connect, explore, and interact with information and each other. Our products handle massive scale and extend far beyond web search. We look for engineers from all areas—information retrieval, distributed computing, large‑scale system design, networking, data storage, security, AI, natural language processing, UI design, and mobile—to contribute to diverse projects.

The Defense and Consulting team within Google Cloud Security is on a relentless mission to keep organizations safe from cyber threats. The team works on advanced threat detection, AI‑powered security operations, and streamlined workflows, enabling analysts to act swiftly against emerging attacks.

The AI and Infrastructure team redefines what’s possible by delivering AI and infrastructure at scale, reliability, and velocity. Customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We drive innovation across AI models, computing power, and platforms such as TPUs, Vertex AI, Google Global Networking, data centers, and systems research.

US salary: $207,000–$301,000 (USD) plus up to 20% bonus target, equity, and benefits.

Responsibilities

• Provide technical leadership on high‑impact projects and manage priorities, deadlines, and deliverables.
• Facilitate alignment across teams, clarify goals, outcomes, and timelines, and coach a distributed team of engineers.
• Lead the design and implementation of solutions in specialized ML areas, optimize infrastructure, and guide model optimization and data processing strategies.
• Establish strategic partnerships with stakeholders to define long‑term product outlooks and technology roadmaps.
• Lead the integration of AI into product solutions and engineering practices, accelerating AI velocity across the organization.

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Google is an equal opportunity and affirmative action employer committed to building a workforce that represents the users we serve. We provide equal employment opportunity under all legal bases.

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English proficiency is required for all roles unless otherwise stated.

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Equity is granted by Alphabet Inc. on an agreement basis. GSU grants are discretionary and subject to approval and plan terms. Current or past grants do not confer an acquired right.