Senior Information Security Engineer – App & AI Security

Lam Research Salzburg GmbH

Fremont (CA)

Hybrid

USD 92,000 - 211,000

Full time

14 days+

Get more replies from employers

Send a job-specific resume in minutes.

Job summary

Lam Research in Fremont, CA, is seeking an Information Security Engineer 4 to support Secure SDLC reviews, threat modeling, and vulnerability validation across Lam-developed applications and AI-enabled solutions.

You will collaborate with cross-functional teams to document security requirements, perform risk assessments, and help implement secure coding practices. The role emphasizes AI security governance and DevSecOps integration.

Qualifications

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 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.

Responsibilities

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.