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You will work &#39;in the room&#39; with product builders, identifying architectural flaws during the design phase long before formal reviews begin.</p>\n<p><strong>Key Responsibilities:</strong></p>\n<ul>\n<li>Execute Agile Red Teaming: Conduct rapid, high-impact security assessments on agentic services, focusing on vulnerabilities unique to GenAI such as prompt injection, tool-use escalation, and autonomous lateral movement.</li>\n<li>Develop Advanced Exploits: Engineer and execute complex attack sequences that exploit non-deterministic model behaviors, agentic logic errors, and data poisoning vectors.</li>\n<li>Build Automated Defenses: Write code to transform manual vulnerability discoveries into automated regression testing frameworks (&#39;Auto Red Teaming&#39;) that prevent regression in future model versions.</li>\n<li>Embed with Product Teams: 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.</li>\n<li>Curate Threat Intelligence: Maintain and expand a library of agent-specific attack patterns and exploit primitives to establish robust release criteria for new models.</li>\n</ul>\n<p><strong>About You</strong> In order to set you up for success as a Software Engineer at Google DeepMind, we look for the following skills and experience:</p>\n<ul>\n<li>Bachelor&#39;s degree in Computer Science, Information Security, or equivalent practical experience.</li>\n<li>Experience in Red Teaming, Offensive Security, or Adversarial Machine Learning.</li>\n<li>Strong coding skills in Python, Go, or C++ with experience building security tools or automation.</li>\n<li>Technical understanding of LLM architectures, agentic workflows (e.g., chain-of-thought reasoning), and common AI vulnerability classes.</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Hands-on experience developing exploits for GenAI models (e.g., prompt injection, adversarial examples, training data extraction).</li>\n<li>Experience working in a consulting capacity with product teams or in a fast-paced &#39;startup-like&#39; environment.</li>\n<li>Familiarity with AI safety benchmarks, evaluation frameworks, and fuzzing techniques.</li>\n<li>Ability to translate complex probabilistic risks into actionable engineering fixes for developers.</li>\n</ul>\n<p><strong>Salary &amp; Benefits</strong> The US base salary range for this full-time position is between $166,000 - $244,000 + bonus + equity + benefits.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_f73f108d-30a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Google DeepMind","sameAs":"https://deepmind.com/","logo":"https://logos.yubhub.co/deepmind.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/deepmind/jobs/7596438","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$166,000 - $244,000 + bonus + equity + benefits","x-skills-required":["Python","Go","C++","Red Teaming","Offensive Security","Adversarial Machine Learning","LLM architectures","agentic workflows","chain-of-thought reasoning","AI vulnerability classes"],"x-skills-preferred":["prompt injection","adversarial examples","training data extraction","AI safety benchmarks","evaluation frameworks","fuzzing techniques"],"datePosted":"2026-03-16T14:39:43.939Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California, US; New York City, New York, US; Zurich, Switzerland"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Go, C++, Red Teaming, Offensive Security, Adversarial Machine Learning, LLM architectures, agentic workflows, chain-of-thought reasoning, AI vulnerability classes, prompt injection, adversarial examples, training data extraction, AI safety benchmarks, evaluation frameworks, fuzzing techniques","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":166000,"maxValue":244000,"unitText":"YEAR"}}}]}