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