INTERNSHIP DETAILS

Machine Learning Applications & Benchmarking Intern

CompanyTenstorrent University Jobs
LocationSanta Clara
Work ModeOn Site
PostedMarch 11, 2026
Internship Information
Core Responsibilities
The intern will benchmark Machine Learning models across various hardware setups, analyze performance results, and identify areas for speed and efficiency optimization. Additionally, the role involves building demonstrations and applications that showcase real Machine Learning use cases on the company's hardware.
Internship Type
full time
Company Size
1119
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.

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. 

This role is on-site based in Santa Clara.
 
 
Who You Are:
  • Background in computer science, ML, or a related field.
  • Proficient in Python with experience using PyTorch or TensorFlow.
  • Comfortable writing clean, reproducible code and debugging performance issues.
  • Curious, collaborative, and always looking to learn something new.

What We Need:

  • Benchmark ML models across hardware setups and analyze performance.
  • Identify slowdowns and optimize for speed and efficiency.
  • Build demos and apps that highlight real ML use cases on our hardware.
  • Contribute to software testing and release validation.

What You Will Learn:

  • Real-world ML benchmarking workflows from model to hardware.
  • Performance tuning and optimization techniques.
  • How ML applications are tested, validated, and productized.
  • Collaboration across software, hardware, and research teams.

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
PythonPyTorchTensorFlowDebuggingPerformance OptimizationMachine LearningBenchmarkingRISC-VSoftware TestingRelease Validation
Categories
EngineeringSoftwareScience & ResearchData & AnalyticsTechnology