INTERNSHIP DETAILS
Intern, Scaleout Software (Distributed Systems & Infrastructure)
CompanyTenstorrent University Jobs
LocationToronto
Work ModeOn Site
PostedDecember 18, 2025

Internship Information
Core Responsibilities
In this role, you will work on high-impact projects that directly enable AI deployment at scale. You'll collaborate with hardware and software engineers to solve problems that matter.
Internship Type
full time
Company Size
1082
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Tenstorrent is a next-generation computing company that builds computers for AI.
Headquartered in the U.S. with offices in Austin, Texas, and Silicon Valley, and global offices in Toronto, Belgrade, Seoul, Tokyo, and Bangalore, Tenstorrent brings together experts in the field of computer architecture, ASIC design, RISC-V technology, advanced systems, and neural network compilers. Tenstorrent is backed by Eclipse Ventures and Real Ventures, Archerman Capital, Samsung Catalyst Fund, and Hyundai Motor Group among others.
Join us: www.tenstorrent.com/careers.
About the Role
<div class="content-intro"><p>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.</p></div><p>Tenstorrent is seeking a skilled and motivated Software Engineering PEY with a passion for building scalable and high-performance software, interfacing directly with AI Compute Clusters.</p>
<p>In this role, you will work on high-impact projects that directly enable AI deployment at scale. You'll touch everything from low-level software to high-level orchestration, system management and debug tools; collaborating with hardware and software engineers to solve problems that matter. This is a rare opportunity to see your code deployed in production environments and understand the complete distributed AI computing and networking stack.</p>
<p>This role is<strong> onsite</strong>, based out of Toronto.</p>
<p>We welcome students looking for technical internship roles. During the interview process, candidates will be assessed technically. </p>
<p> </p>
<p><strong>Who You Are</strong></p>
<ul>
<li>A driven student pursuing a 12-16 month PEY placement with hunger to make an impact</li>
<li>Comfortable moving fluidly between hardware concerns, low-level systems software, and high-level frameworks</li>
<li>Energized by cross-functional collaboration - you thrive managing complexity and dependencies across teams</li>
<li>A self-starter who takes ownership of projects and isn't afraid to propose solutions</li>
</ul>
<p><strong>What We Need</strong></p>
<ul>
<li>Strong proficiency in C/C++ and Python</li>
<li>Solid foundation in Computer Architecture, Parallel Programming, and Software Design</li>
<li>Proven ability to tackle complex technical problems methodically and creatively</li>
<li>Enthusiasm for high-performance computing and massively parallel systems</li>
</ul>
<h4><strong>What Will You Learn</strong></h4>
<ul>
<li>Hands-on experience shipping production-grade scaleout software for AI infrastructure</li>
<li>Deep understanding of cluster integration - from runtime systems to networking to operational tooling</li>
<li>Exposure to cutting-edge observability and cluster management techniques</li>
<li>Invaluable insights into hardware-software co-design and systems thinking</li>
</ul>
<p> </p>
<p><em>Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.</em></p><div class="content-conclusion"><p><em>This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.</em></p></div>
Key Skills
C/C++PythonComputer ArchitectureParallel ProgrammingSoftware DesignHigh-Performance ComputingMassively Parallel Systems
Categories
TechnologySoftwareEngineering
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