Software Engineer, ML Frameworks

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, 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 Santa Clara, CA; Austin, TX; or Toronto, ON.Responsibilities:Develop machine learning graph compilerParticipate in the co-design of Tenstorrent's hardware and software stackBenchmark, analyze, and optimize performance of key machine learning applications across Tenstorrent's hardware and software stackDevelop performance analysis and estimation infrastructure that feeds into Tenstorrent compilerDevelop high-performance run-time engineIntegrate the Tenstorrent software into leading machine learning frameworksWork closely with machine learning engineers to discover the hardware and software requirements of current and future machine learning applicationsExperience & Qualifications:BSc, MSc or PhD in Electrical/Computer Engineering or Computer ScienceExperience with algorithms, data structures, and software development in C/C++. Python expertise is welcome as wellFamiliarity 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 plusCompensation 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.#J-18808-Ljbffr