INTERNSHIP DETAILS

Software Intern - AI Compilers

CompanyTenstorrent University Jobs
LocationSanta Clara
Work ModeOn Site
PostedMarch 4, 2026
Internship Information
Core Responsibilities
The intern will develop a machine learning graph compiler and participate in the co-design of Tenstorrent's hardware and software stack. They will also benchmark, analyze, and optimize performance of key machine learning applications across Tenstorrent's hardware and software stack.
Internship Type
full time
Salary Range
$50 - $70
Company Size
1109
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

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, you will have the chance to accelerate your career by working on challenging engineering problems with a dedicated mentor and the opportunity to move between the digital design, verification, firmware, software and system engineering teams.   

This role is on-site based in Austin, TX; Santa Clara, CA; or Toronto, ON

Responsibilities:

  • Develop machine learning graph compiler 
  • Participate in the co-design of Tenstorrent's hardware and software stack 
  • Benchmark, analyze, and optimize performance of key machine learning applications across Tenstorrent's hardware and software stack 
  • Develop performance analysis and estimation infrastructure that feeds into Tenstorrent compiler 
  • Develop high-performance run-time engine 
  • Integrate the Tenstorrent software into leading machine learning frameworks 
  • Work closely with machine learning engineers to discover the hardware and software requirements of current and future machine learning applications 
  • Develop novel ML models and primitives that take advantage of Tenstorrent’s breakthrough architecture to deliver orders of magnitude performance & efficiency improvements 

Experience & Qualifications:

  • Final year BS/MS or PhD candidate in EE/ECE/CE/CS with a strong GPA
  • Experience with algorithms, data structures, and software development in C/C++. Python expertise is welcome as well 
  • Familiarity with and passion for any of the following -- machine learning, compilers, parallel programming, high-performance and massively parallel systems, processor and computer architecture -- is a plus 
  • Strong problem solving and analytical skills
 

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.

Key Skills
Machine LearningCompilersParallel ProgrammingHigh-Performance SystemsComputer ArchitectureAlgorithmsData StructuresC++PythonPerformance AnalysisSoftware DevelopmentProblem SolvingAnalytical Skills
Categories
TechnologyEngineeringSoftwareData & AnalyticsScience & Research