Machine Learning for Physical Design Intern - CPU/AI Hardware
About The Position
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. As an intern in the Physical Design (PD) team, you will work on high-performance designs going into industry leading AI/ML architectures. The student coming into this role will develop ML-based tools and flows to improve the PPA (Performance Power Area) and turnaround time for all aspects of chip implementation from synthesis to tapeout for various IPs. The work is done collaboratively with a group of highly experienced engineers across various domains of the ASIC. This role is on-site, 40 hours, based out of Santa Clara, CA or Austin, TX.
Requirements
- 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++.
Responsibilities
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Number of Employees
501-1,000 employees
