Job Description
Tenstorrent is seeking a highly skilled and experienced Software Engineer with expertise in compilers and semiconductor technology. The ideal candidate will play a critical role in designing, developing, and optimizing compilers for cutting-edge semiconductor products. This role involves close collaboration with hardware engineers, software engineers, and other stakeholders to ensure the efficient and effective execution of compiler-related tasks. This is a hybrid role based out of Santa Clara, California.
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
Tenstorrent offers:
- A highly competitive compensation package and benefits