Machine Learning for Physical Design Intern, CPU/AI Hardware - Santa Clara, CA

Internship opportunity to develop ML-based tools improving chip implementation for AI/ML architectures at Tenstorrent. Your Role Here’s what you will be doing: • Develop ML-based tools and flows to improve Performance, Power, and Area (PPA) and turnaround time for chip implementation from synthesis to tapeout for various IPs. • Collaborate with Physical Design (PD) engineers across ASIC domains including synthesis, place and route (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. • Work on high-performance designs for industry-leading AI/ML architectures. About You The company is looking for: • Currently pursuing a BS/MS/PhD in Electrical Engineering (EE), Electrical and Computer Engineering (ECE), Computer Engineering (CE), or Computer Science (CS). • Deep knowledge of math, probability, statistics, and algorithms. • Experience solving problems with Machine Learning models. • Proficiency in algorithms, data structures, and software development using Python and C/C++. Compensation & Benefits • Compensation ranges from $50/hr to $70/hr, including base and variable compensation targets. • Competitive compensation package and benefits. • Hybrid work model based in Santa Clara, CA: 4 days in office, 1 day remote. Training & Development • Learn to apply ML systems and flows to high-performance AI/ML designs. • Gain practical experience extending ML systems and implementing cutting-edge algorithms. • Exposure to core physical design fundamentals, including synthesis, place and route, and timing analysis. • Collaborate with highly experienced engineers across ASIC implementation domains. How to Apply • Submit your application through the provided link, ensuring all required information is included. • Employment is contingent upon eligibility to access U.S. export-controlled technology, including citizenship or permanent residency verification and possible U.S. export license approval. • Offers may be rescinded if compliance is not met. This job may close before the stated closing date, you are encouraged to apply as soon as possible. Report this job Apply tot his job Apply To this Job