Software Runtime Staff Engineer:
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
4+ years of experience working with algorithms, data structures, and software development
Bachelors in Computer Science or Electrical/Computer Engineering or Engineering Science
Excellent verbal and written communication skills
Ability to work across multiple teams
Asset:
Masters/PhD in Computer Science or Electrical/Computer Engineering or Engineering Science
Locations: Austin, TX; Santa Clara, CA or Toronto, ON
Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.
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