Cirrus Logic Women’s Leadership Team

Cirrus Logic encourages all employees to soar to the heights that their talents and work experiences can take them. The mission of the Women’s Leadership Team serves to propel this vision by creating an environment of learning, sharing and growing for its female employees.

Employee Resource Group

The Cirrus Logic Women’s Leadership Team is an Employee Resource Group whose members work together to support their own professional development through quarterly meetings, leadership training, networking and technical speaker sessions. Lead by a slate of officers elected annually by its membership, the group’s other activities include mentorship groups, community outreach, a book club and supporting STEM-related activities for school-aged girls and young women.

Girl Day at UT Austin

Austin Women in Technology Presentation

Carrying for Hope Service Project

Computer Donations to Latinitas

Building a Home at Austin's Habitat for Humanity

WLT

Our Mission

To cultivate an inclusive environment that supports and encourages women to advance their skills and leadership potential through connection, mentorship, collaboration and discussion.

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Cirrus Logic is an Equal Opportunity/Affirmative Action Employer. We strive to select the best qualified applicant for any opening and to reward employees based on their skills, experience and performance. We do not discriminate on the basis of race, color, national origin, pregnancy status, marital status, gender, age, religion, physical or mental disability, medical condition, veteran status, sexual orientation, gender identity, genetic information or any other characteristic protected by law. Please see our EEO Policy and ADA Compliance Policy, as well as EEO is the law and Pay transparency for reference.
This link, www.ticmrf.com/77-0024818, leads to the machine-readable files that are made available in response to the federal Transparency in Coverage Rule and includes negotiated service rates and out-of-network allowed- amounts between health plans and healthcare providers. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data.