AI Compiler Software Intern (PEY)
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.
At Tenstorrent, interns don’t just write code—they help shape the future of AI compute. As a Software Compiler Intern, you’ll work with a dedicated mentor and collaborate across software, firmware, hardware, and systems teams. This is a rare chance to work on performance-critical code and gain experience across the full AI stack.
This role is on-site based in Toronto, Canada.
Who You Are
- Pursuing (or recently completed) a degree in EE, CE, CS, or a related field.
- Solid foundation in C/C++ and algorithms; Python skills are a bonus.
- Curious about compilers, ML, parallel systems, or processor architecture.
- Problem-solver who enjoys working across abstraction layers
What We Need
- Contribute to the development of Tenstorrent’s ML graph compiler.
- Benchmark and optimize key ML workloads across hardware/software.
- Build performance analysis tools to inform compiler and runtime design.
- Collaborate with ML and systems teams to co-design across the stack.
What You Will Learn
- Compiler design for machine learning models and workloads.
- End-to-end co-design of software and cutting-edge AI hardware.
- Performance tuning and analysis in a high-performance runtime.
- Real-world ML integration with frameworks and low-level systems.
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.
Skills
As published by greenhouse · 13 questions
Basics
First Name, Last Name, Email, Phone, Resume/CV, Cover Letter, Location
Short answers (5)
- If you selected "Other," please specify how you heard about us optional
- LinkedIn Profile
- Website optional
- What is your cumulative GPA? If you are in the 1st year of a Master's or PhD program, please submit your GPA from your undergrad.
- When do you expect to graduate?
Pick from a list (7)
- How did you hear about the role?
- Depending on the needs of the role, we may have openings in multiple locations. Please choose which locations you are open to working in/relocating to.
- Are you willing to work in our Toronto office for 5 days per week?
- If you have applied for a PEY role, please confirm whether or not you are open to 12 or 16 month duration.
- In the event that the position requires it, are you open a PEY role based out of one of our US offices? (J1 visa sponsorship will be provided)
- If yes to the above questions - which cities are you open to?
- I have read and understand the Export Control statement included in the job description above.
Attachments (1)
- Please upload a copy of your unofficial transcript.