Jobs · OTHR · California

Corporate Librarian

Lam Research · Fremont, CA · 2 mo ago
OTHR$70k–$133k/yrFull-time

The group you’ll be a part of

The Corporate Engineering Library, part of the Business Operations Group, enables Lam employees worldwide to access the research publications, technical information, and knowledge resources that support innovation. Through library systems, information services, and AI-enabled research technologies, the library team improves knowledge access, research workflows, and user experience while ensuring alignment with licensing compliance and business requirements.

What You’ll Do

  • Implement, maintain, and enhance library systems and services, while supporting the evaluation and deployment of AI-enabled search, discovery, and research technologies that improve knowledge access and research workflows in alignment with licensing, governance, and business requirements.
  • Assist employees with information retrieval, conduct reference interviews, provide training on library resources, and support research and resource discovery.
  • Interface with vendors and publishers to support subscriptions, content access, system enhancements, and emerging information services.
  • Maintain the library website, information architecture, resource access points, and related systems.
  • Resolve technical and access issues affecting library content and platforms.
  • Monitor developments in information services, AI-enabled research tools, and specialized databases, and recommend improvements to library resources, technologies, services/policies, and research workflows.
  • Provide library support for company initiatives and cross-functional projects.
  • Evaluate library services and technologies within the context of the broader enterprise environment, identifying opportunities to improve cross-functional workflows, system integration, information access, and user experience.

Who We’re Looking For

  • Master's degree in Library and Information Science
  • Semiconductor, technology or manufacturing industry experience, or a bachelor's degree in engineering, physical sciences, or a related technical field
  • Preferred Qualifications:
    • Experience administering or maintaining SharePoint-based information resources and knowledge repositories
    • Experience with library systems, discovery platforms, databases, or related information management technologies
    • Knowledge of emerging AI technologies and their application to information discovery, enterprise search, research workflows, and knowledge management
    • Familiarity with OpenAthens, Shibboleth, or similar authentication systems
    • Experience supporting knowledge management, enterprise search, AI-enabled research tools, or digital transformation initiatives
    • Self-starter who can operate independently

Our commitment

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.

Pay

Salary CA San Francisco Bay Area Salary Range for this position: $70,304.00 - $133,000.00. The above salary range for this position is relevant to applicants that reside or work onsite in the California, San Francisco Bay Area only. Salary offers will depend on factors that include the location you work from, your level, education, training, specific skills, years of experience and comparison to other employees already in this role. Actual salary may vary from salary offered due to numerous factors including but not limited to unpaid time off, unpaid leave, company mandated shutdown, and other relevant factors.

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