Tenstorrent · 9 hours ago
Machine Learning for Physical Design Intern - CPU/AI Hardware
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 develop ML-based tools to improve chip implementation processes for high-performance AI/ML architectures.
Application Specific Integrated Circuit (ASIC)Artificial Intelligence (AI)ElectronicsMachine LearningSemiconductor
Responsibilities
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
Select appropriate datasets, data representation methods, and implement new algorithms
Run machine learning tests, perform statistical analysis, and fine-tune models using test results
Qualification
Required
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
Benefits
Highly competitive compensation package and benefits
Company
Tenstorrent
Tenstorrent develops AI hardware and software solutions for data processing and machine learning application.
Funding
Current Stage
Late StageTotal Funding
$1.03BKey Investors
FidelityEPIQ Capital GroupEclipse Ventures
2024-12-02Series D· $693M
2023-08-02Series Unknown· $100M
2021-05-20Series C· $200M
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