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.

Responsibilities:

  • In partnership with the leadership team, create and define the product roadmap and co-design of Tenstorrent's hardware and software stack
  • Develop machine learning graph compiler
  • Be the subject matter expert across one or more areas: scheduling, parallelization, memory allocation, data flow optimizations, optimizing kernels
  • Define the 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
  • Integrate the Tenstorrent software into leading machine learning frameworks
  • 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

Qualifications & experience:

  • Deep understanding of IR and machine level compiler optimization techniques.
  • Extensive working experience with one or more: scheduling, parallelization, memory allocation, data flow optimizations, optimizing kernels
  • 7+ years of experience working with algorithms, data structures, and software development
  • 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

Asset:

  • 2+ years of experience as a technical lead, developing and mentoring a team
  • Experience contributing to open-source projects, and demonstrated influence in the open community.
  • Masters/PhD in Computer Science or Electrical/Computer Engineering or Engineering Science
  • Software development in Python

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