Sr. University Recruiter

Hybrid
Senior
💰$100–500K
🇺🇸 United States
💰Equity
Recruiter
HR & Recruitment

We are seeking an experienced University Recruiter to join our dynamic recruiting team. This is an incredible opportunity to execute a global university recruiting strategy for an AI hardware powerhouse on a mission to build the world's best AI accelerators. The ideal candidate will have a background in recruiting early-career candidates from academic institutions, building relationships with universities, and overseeing the entire recruitment process for interns. This role requires excellent communication skills, a passion for identifying and attracting top talent from universities, and a willingness to travel to represent Tenstorrent on-campus. If you're passionate about recruiting for innovative products, love tackling new challenges, and want to assist in shaping the future of Tenstorrent's University Recruiting program, then you're in the right place.

This role ishybrid, based out of Austin, TX or Santa Clara, CA

Responsibilities:

  • Drive the entire internship recruitment process across all hiring verticals, including Hardware, Software, Product, and Operations, from initial screening to offer extension.
  • Work with recruiting leadership to refine and amplify a comprehensive university recruiting strategy that addresses the global technical and non-technical hiring needs.
  • Collaborate with the Recruiting Operations team to ensure a smooth and efficient interview process focused on candidate experience and equity.
  • Own and drive relationships with career services, faculty, and student organizations at target universities.
  • Project manage the scheduling and facilitation of all on-campus recruiting events, including career fairs, tech talks, and interview days.
  • Travel to on-campus events and assist with full-time hiring event travel as needed.

Experience & Qualifications:

  • Bachelor’s degree in Human Resources, Business Administration, or a related field is preferred but not required.
  • Minimum of 3 years of experience in a full-life cycle university recruitment role. Ideally with a public company or a fast-paced scaling startup.
  • Proven track record of successful university recruiting and relationship-building with academic institutions.
  • Excellent interpersonal and communication skills, with the ability to engage and influence stakeholders at all levels.
  • Strong organizational and project management skills, with the ability to manage multiple tasks and deadlines.
  • Passion for working with students and early-career professionals.
  • A keen interest in engineering concepts and the ability to understand and communicate technical roles and requirements effectively.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Due to U.S. Export Control laws and regulations, Tenstorrent is required to ensure compliance with licensing regulations when transferring technology to nationals of certain countries that have been licensing conditions set by the U.S. government.

Our engineering positions and certain engineering support positions require access to information, systems, or technologies that are subject to U.S. Export Control laws and regulations, please note that citizenship/permanent residency, asylee and refugee information and/or documentation will be required and considered as Tenstorrent moves through the employment process.

If a U.S. export license is required, employment will not begin until a license with acceptable conditions is granted by the U.S. government. If a U.S. export license with acceptable conditions is not granted by the U.S. government, then the offer of employment will be rescinded.

 

Tenstorrent

Leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency.

Artificial Intelligence
Technology

LinkedIn

🏭computer hardware manufacturing
🎂2016

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