The Tenstorrent team combines technologists from different disciplines who come together with a shared passion for AI and a deep desire to build great products. We value collaboration, curiosity, and a commitment to solving hard problems.
Find out more about our culture.


  • Provide technical guidance and direction to junior staff member
  • Work closely across teams to discover the hardware and software requirements of current and future machine learning applications
  • Develop performance analysis and debug tools
  • Develop firmware for Tenstorrent hardware
  • Develop highly optimized kernels in C++ and assembly to implement complex ML operations
  • Analyze, optimize, and fine-tune performance of key machine learning applications on various configurations of Tenstorrent hardware

Qualifications & experience:

  • Extensive working experience with one or more: firmware, low-level programming, optimizing kernels, hardware debug
  • Close familiarity with computer architecture, comfortable working with hardware
  • 7+ years of experience working with algorithms, data structures, and software development
  • C/C++, Python
  • Bachelors in Computer Science or Electrical/Computer Engineering or Engineering Science
  • Excellent verbal and written communication skills
  • Ability to work across multiple teams


  • 2+ years of experience as a technical lead, developing and mentoring a team
  • Masters/PhD in Computer Science or Electrical/Computer Engineering or Engineering Science

Locations: Austin, TX or Santa Clara, CA

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.