Information Security Engineer 4

• Support the objectives of the Application Security team by contributing to secure design, Secure SDLC execution, and product security reviews.
• Assist with application risk assessments, secure design reviews, threat modeling, code review, vulnerability assessment, and penetration testing.
• Support the integration and operational use of application security tools, including SAST, SCA and DAST, and other DevSecOps capabilities in CI/CD pipelines.
• Work with development teams to identify and document security requirements, common application risks, and required controls based on application risk level, data sensitivity, exposure, and system interconnections.
• Help engineering teams interpret and apply secure coding standards, OWASP guidance, internal Secure SDLC requirements, and product security best practices.
• Assist in reviewing AI-related security risks, including prompt injection, insecure model/tool integration, data leakage, excessive autonomy, insecure AI outputs, model sourcing, sensitive data exposure, and lack of human-in-the-loop controls.
• Participate in AI-related security initiatives, including secure AI model usage, AI-assisted development governance, AI-enabled application review, and secure MLOps process improvement.
• Research, evaluate, and help pilot new security capabilities, automation, and AI-assisted AppSec workflows under guidance from senior security engineers.
• Document findings, recommendations, and review outcomes clearly for application teams, security leadership, and governance tracking.
• Partner with cross-functional teams to improve secure development practices and reduce application and product security risk.

• Bachelor's degree in computer science, Information Security, Information Technology, Engineering, or related field, or equivalent practical experience.
• 3+ years of experience in information security, application security, product security, software engineering, DevSecOps, or related technical field.
• Working knowledge of Secure SDLC practices, including threat modeling, secure design review, code review, vulnerability assessment, and security testing.
• Familiarity with common application security frameworks and risks, including OWASP Top 10, API security, authentication/authorization, input validation, secrets management, and secure coding practices.
• Hands-on or working experience with one or more application security tools such as SAST, DAST, SCA, secrets scanning, container scanning, or vulnerability management platforms.
• Basic understanding of CI/CD pipelines and developer tools such as Git, Bitbucket, Jenkins, Azure DevOps, Artifactory, or similar platforms.
• Ability to analyze technical information, identify security risks, and communicate findings clearly to engineering and security stakeholders.
• Strong collaboration skills and ability to work with cross-functional global teams.

• Experience supporting security reviews for cloud, product, or manufacturing/engineering software environments.
• Experience with Azure, Microsoft DevOps, Kubernetes, containers, APIs, or modern application architectures.
• Exposure to AI/ML security concepts, including generative AI, RAG, AI agents, model governance, prompt injection, model/data leakage, AI-assisted coding, and secure MLOps.
• Familiarity with security requirements for AI-enabled applications, including approved model usage, data minimization, access control, logging, monitoring, human oversight, and secure tool/plugin integration.
• Experience helping engineering teams remediate application vulnerabilities and validate fixes.
• Security certifications such as Security+, CSSLP, CISSP, GIAC, or similar are preferred but not required.
• Ability to break down complex security problems, document practical recommendations, and contribute to repeatable security review processes.

We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.

Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.

Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories - On-site Flex and Virtual Flex. 'On-site Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. 'Virtual Flex' you'll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.