Senior Security Engineer, Agentic Red Team, DeepMind
Mountain View, CAJob$174–252K/yrPosted 1 day agoStill listed today
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Job overview
The Senior Security Engineer on DeepMind’s Agentic Red Team conducts adversarial engagements against production-level AI models and agentic services. The role focuses on identifying architectural flaws early, developing attacks against agent behaviors, and turning findings into automated testing frameworks and reusable defensive guardrails. The engineer partners with product developers during design and build phases and maintains attack patterns to inform model release criteria.
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Full job description
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corporate_fareDeepMindplaceMountain View, CA, USA; New York, NY, USA; +2 more; +1 more
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info_outline XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA; Zürich, Switzerland.
Minimum qualifications:
- Bachelor's degree in Computer Science, Information Security, or equivalent practical experience.
- 5 years of experience in Red Teaming, Offensive Security, or Adversarial Machine Learning.
- Experience with Large Language Model (LLM) architectures, agentic workflows (e.g., chain-of-thought reasoning), and AI vulnerability classes.
- Experience developing exploits for GenAI models (e.g., prompt injection, adversarial examples, training data extraction).
Preferred qualifications:
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Experience working in a consulting capacity with product teams or in a "startup-like" environment.
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Familiarity with AI safety benchmarks, evaluation frameworks, and fuzzing techniques.
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Ability to translate complex probabilistic risks into actionable engineering fixes for developers.
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Excellent coding skills in Python, Go, or C++ with experience building security tools or automation.
About the job At Google DeepMind our mission is to build the world's first general-purpose learning agent. Central to this mission is the complex task of measuring the intelligence of our prototypes. As a Software Engineer, you will be working with the cutting edge AI agents developed by our exceptional team of Machine Learning and Neuroscience research scientists. Your responsibilities will include everything from creating systems for agent testing using 2D and 3D games to developing test problems within physics simulators. You will create graphical visualization of results, build competitive agent leaderboards and test new algorithms on robots. To succeed in this role you will need to have a strong foundation in software engineering and enjoy working on a wide range of challenging problems within a mission-driven team. As a part of the Agentic Red Team, you will be a specialized, high-velocity unit within DeepMind Security. Your mission is to close the Agentic Launch Gap—the critical window where novel AI capabilities outpace traditional security reviews.
As a Senior Security Engineer on the Agentic Red Team, you will be the primary technical executor of adversarial engagements. You will work with product builders, identifying architectural flaws during the design phase long before formal reviews begin.
Your core focus will be to perform multi-turn attacks on production-level AI models, specifically targeting agentic behaviors like tool usage and reasoning chains. You will not only find vulnerabilities but also help close the loop by contributing to Auto Red teaming frameworks and defensive strategies, ensuring that your findings are codified into reusable guardrails for all Google agent developers. Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google. Responsibilities
- Conduct rapid, security assessments on agentic services, focusing on vulnerabilities unique to Generative AI such as prompt injection, tool-use escalation, and autonomous lateral movement.
- Engineer and execute attack sequences that exploit non-deterministic model behaviors, agentic logic errors, and data poisoning vectors.
- Write code to transform manual vulnerability discoveries into automated regression testing frameworks ("Auto Red Teaming") that prevent regression in future model versions.
- Partner directly with developers during the design and build phases to provide immediate feedback, effectively shortening the feedback loop between offensive findings and defensive engineering.
- Maintain and expand a library of agent-specific attack patterns and exploit primitives to establish release criteria for new models.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.
How this job compares
Set against the 4,151 open Security Engineer jobs on Olive Jobs, counted October 29, 2026.
- Pay
- This posting$174–252K/yr
- California median$165–248K/yr615 salary ranges
- US median$132–208K/yr3,383 salary ranges
This range's midpoint, $213K, is 3% above the California median midpoint ($206K) — in the middle half of Security Engineer salary ranges in California.
- Openings
- Olive Jobs lists 756 open Security Engineer jobs in California and 4,151 across the US. 8% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 5 years of experience; Security Engineer postings that state a minimum ask for 5 years at the median (3,594 postings).
- Education
- 1,543 of the 4,151 open Security Engineer jobs (37%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 29, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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