Primary record

Executive Assistant

Tenstorrent Indexed employerSanta Clara, California, United States
Source-hosted applyChecked 5h agoInternship
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Workplace

hybrid

Employment

Internship

Published

Aug 11, 2026

Closes

No date supplied

The role

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.

Tenstorrent is building a world-class technical organization at the intersection of hardware and software. As an Executive Assistant, you will operate as a strategic partner to senior leadership, ensuring time, focus, and execution are aligned with the most important priorities across the organization.

This role is hybrid, based out of Santa Clara, CA.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• Proven Executive Assistant supporting senior leaders in fast-paced, technical or engineering-driven environments.

• Operates as a strategic partner, not just an administrator, with strong ownership and initiative.

• Highly organized with exceptional time management and ability to prioritize across competing demands.

• Strong communicator with sound judgment, professionalism, and discretion in handling sensitive information.

• Curious about AI and comfortable navigating ambiguity while adapting quickly as priorities shift.

What We Need

• Own and optimize a complex exe

Requirements

Department: AI SW