AI Processor IP Product Engineer Intern

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.

As an IP Product Engineering intern, you'll sit at the intersection of hardware design, architecture, and product — helping bridge technical innovation with real-world application. If you love understanding how complex systems come together and want to contribute to technology that's shaping the future of AI hardware, this role is for you.

This role is on-site, 40 hours, based out of Toronto, CAN

• A curious and motivated student who loves connecting the dots between hardware, software, and product.
• Excited by how AI processors are designed and how concepts in VLSI, RISC-V, and ASIC methodology come together to build real chips.
• Interested in understanding how architectural ideas become products used in real-world systems.
• Organized, collaborative, and eager to learn from experienced engineers in a fast-paced, technical environment.
• Comfortable asking questions, taking initiative, and exploring new areas in compute design and product development.
  
  

• A co-op or PEY student pursuing a BS/MS in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
• Academic exposure to computer architecture, VLSI, or digital design concepts.
• Familiarity with hardware description languages (e.g., Verilog, SystemVerilog) and ASIC design methodology.
• Interest in RISC-V and modern AI processor architectures.
• Basic scripting skills (Python, Perl, or similar).
• Strong analytical thinking and communication skills.
• Enthusiasm for learning how technical design decisions connect to broader product strategy.
  
  

• Work with architecture, design, and software teams to define and track features for AI processor IP products.
• Assist with benchmarking, data analysis, and competitive research to guide product direction.
• Support documentation and specification tracking for IP components and RISC-V–based subsystems.
• Help maintain internal tools, dashboards, and scripts used for performance and configuration tracking.
• Learn about ASIC design methodology and VLSI implementation flows through collaboration with senior engineers.
• Contribute to cross-functional meetings and gain insight into how IP design, verification, and product management connect.
  
  

Compensation for all interns at Tenstorrent ranges from $50/hr - $70/hr 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.

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.