Staff Software Engineer, AI Compiler

Posted 7 Hours Ago
Be an Early Applicant
Austin, TX
Entry level
Hardware • Manufacturing
The Role
Seeking a Staff Software Engineer, AI Compiler Specialist to design, develop, and optimize compilers for cutting-edge semiconductor products. Responsibilities include developing machine learning graph compiler, benchmarking performance, and integrating software into machine learning frameworks.
Summary Generated by Built In

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.

We are seeking an experienced and highly skilled Software Engineer with expertise in compilers and semiconductor technology to join our team. As a Staff Software Engineer, AI Compiler Specialist, you will play a critical role in designing, developing, and optimizing compilers for cutting-edge semiconductor products. You will work closely with hardware engineers, software engineers, and other stakeholders to ensure the efficient and effective execution of compiler-related tasks.

This role is hybrid, based out of Austin, TX.


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

Experience & Qualifications:

  • BSc, MSc or PhD in Electrical/Computer Engineering or Computer Science
  • 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


Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.


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


Due to U.S. Export Control laws and regulations, Tenstorrent is required to ensure compliance with licensing regulations when transferring technology to nationals of certain countries that have been sanctioned by the U.S. government.


As this position will have direct and/or indirect access to information, systems, or technologies that are subject to U.S. Export Control laws and regulations, please note that citizenship/permanent residency information and/or documentation will be required and considered as Tenstorrent moves through the employment process.

Top Skills

C
C++
Python
The Company
HQ: Toronto, ON
389 Employees
On-site Workplace
Year Founded: 2016

What We Do

Tenstorrent is a next-generation computing company that builds computers for AI.

Headquartered in Toronto, Canada, with U.S. offices in Austin, Texas, and Silicon Valley, and global offices in Belgrade and Bangalore, Tenstorrent brings together experts in the field of computer architecture, ASIC design, advanced systems, and neural network compilers.

Join us: www.tenstorrent.com/careers

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