Machine Learning for Physical Design Intern… at Tenstorrent · Santa…

Summary: Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. As an intern in the Physical Design team, you will work on high-performance designs for AI/ML architectures and develop ML-based tools to enhance chip implementation processes. Responsibilities: - Develop ML-based tools and flows to improve the PPA (Performance Power Area) and turnaround time for chip implementation - Work closely with other PD engineers to develop ML tools for areas such as synthesis, PnR, timing closure, and power grid analysis - Select appropriate datasets, data representation methods, and implement new algorithms - Run machine learning tests, perform statistical analysis, and fine-tune models using test results Required Qualifications: - Currently pursuing a BS/MS/PhD in EE/ECE/CE/CS - Possessing deep knowledge of math, probability, statistics, and algorithms - Experienced in solving problems with Machine Learning models - Skilled in algorithms, data structures, and software development using Python and C/C++ - Ability to develop ML-based tools to improve PPA and turnaround time for chip implementation - Work closely with other PD engineers to develop ML tools for areas such as synthesis, PnR, timing closure, and power grid analysis - Responsibility for selecting appropriate datasets, data representation methods, and implementing new algorithms - Capability to run machine learning tests, perform statistical analysis, and fine-tune models using test results Required Skills: Machine Learning, Python, C/C++ Important Skills: Algorithms, Data Structures, Statistics Nice-to-Have Skills: Collaboration, Problem Solving Benefits: Tenstorrent offers a highly competitive compensation package and benefits.