Micron is a global leader in memory and storage, powering AI and compute-intensive applications from cloud to edge with innovative semiconductor solutions.
About the role
The Offensive Security AI Engineer will plan and implement adversary-informed security testing across Micron's technology environment. The role is intentionally broader than AI security: the engineer will assess web and mobile applications, APIs, cloud services, identity platforms, enterprise infrastructure, endpoints, wireless environments, security controls, and emerging technologies, including AI-enabled systems. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Significant experience participating in and leading offensive security operations, including penetration testing or red team engagements
- Practical experience testing multiple technology domains, such as applications, APIs, cloud, identity, infrastructure, endpoints, mobile, wireless, or security controls
- Working knowledge of AI and large language model security concepts, common attack surfaces, and the risks introduced by models, data, agents, tools, and integrations
- Proficiency in Python, C#, Go, PowerShell, or another language used for security tooling and automation
- Strong written, presentation, and verbal communication skills, including the ability to explain highly technical issues to non-technical audiences
More about this role
Our vision is to transform how the world uses information to enrich life for all .
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
The Offensive Security AI Engineer will plan and implement adversary-informed security testing across Micron's technology environment. The role is intentionally broader than AI security: the engineer will assess web and mobile applications, APIs, cloud services, identity platforms, enterprise infrastructure, endpoints, wireless environments, security controls, and emerging technologies, including AI-enabled systems.
AI will be used as a force multiplier throughout the testing lifecycle. The engineer will apply AI-assisted techniques to accelerate reconnaissance, analyze attack paths, develop and debug tooling, generate and refine test cases, support evidence analysis, and improve reporting quality. The engineer evaluates AI and machine learning systems when applicable. This covers their models, applications, data flows, integrations, guardrails, and infrastructure.
This position will...
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