Senior Staff Software Engineer, AI/ML Security

Google LLC; Kirkland (WA); On-site; USD 262,000 - 364,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) with company match

Paid time off: 20 days/year

Sick time: 40 hours/year

Maternity leave: 28-30 weeks

Baby bonding leave: 18 weeks

Holidays: 13 paid days/year

Job summary

Google LLC is seeking a Senior Staff Software Engineer for AI/ML Security in Google Cloud. You will architect, implement, and defend model armor and data protection across enterprise environments, guiding teams through complex security challenges and driving strategic initiatives.

The role demands deep expertise in ML security, scalable systems, and cross-functional leadership, with opportunities to influence Google Cloud products and collaborate with executives to secure the generative AI era.

Qualifications

• Bachelor’s degree or equivalent practical experience required.
• 8 years of software development experience.
• 7 years of leading technical project strategy, ML design, and ML infrastructure experience.
• 5 years with design and architecture, and launching software products.
• 5 years with one or more: speech/audio, reinforcement learning, ML infrastructure, or related ML field.

Responsibilities

• Define and drive long-term technical goals and architectural strategy for model armor and sensitive data protection.
• Lead design and implementation of scalable, low-latency systems to detect and mitigate threats like prompt injection and data leakage.
• Align security roadmaps across Google Cloud and other product areas, balancing latency and cost.
• Resolve technical disagreements and foster consensus across teams and time zones.
• Mentor staff and executives, evaluating ML security research to raise domain expertise.

Skills

Leadership

Strategic planning

Security aware design

Research collaboration

Problem solving

Education

Bachelor’s degree or equivalent practical experience

Master’s degree or PhD in Engineering/CS

Tools

Java

ML infrastructure

Model defense engineering

Security tooling

Job description

In most instances, this position requires in-person interviews as part of the hiring process.

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following:

Kirkland, WA, USA; Seattle, WA, USA; Sunnyvale, CA, USA.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 7 years of experience leading technical project strategy, ML design, and working with industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 5 years of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
• 5 years of experience with design and architecture; and testing/launching software products.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures and algorithms.
• 5 years of experience in a technical leadership role leading project teams and setting technical direction.
• 5 years of programming experience in Java.
• Experience with AI model security, adversarial machine learning, or data privacy (e.g., prompt injection defenses, LLM introspection).
• Experience delivering enterprise-grade security products that achieve measurable, business and customer outcomes.

About The Job

Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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.

As a Senior Staff Software Engineer for AI/ML Security, you will serve as the primary technical visionary for Model Armor and Sensitive Data Protection, supporting the strategy to secure LLMs against prompt injection, jailbreaking, and data exfiltration. You will manage architectural issues by integrating filter-based defenses into scalable, observable, and explainable distributed systems that protect enterprise customers at Google Cloud scale. Beyond technical execution, you will navigate extreme ambiguity to drive overarching business strategy and lead high-stakes, cross-Google initiatives. You will have a master-level ability to negotiate and forge consensus among researchers and engineers, translating security goals into measurable, high-impact solutions for the generative AI era.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits.

Responsibilities

Learn more about benefits at Google .

• Define and drive the long-term technical goal and architectural strategy for model armor and sensitive data protection, ensuring Google Cloud remains a leader in generative AI security.
• Lead the design and implementation of highly scalable, low-latency systems to detect and mitigate emerging threats such as prompt injection, jailbreaking, and sensitive data leakage across enterprise environments.
• Act as a principal technical influencer to align security roadmaps across Google Cloud, DeepMind, and other product areas, navigating constraints like latency, cost, and global compliance.
• Resolve technical disagreements among execute engineers and researchers, forging consensus to deliver on high-stakes, cross-functional objectives across multiple time zones.
• Partner with executive leadership to evaluate Machine Learning (ML) security research and provide technical mentorship to staff and executive engineers, elevating the organization’s overall domain expertise.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .