ML/AI Engineer - CAD Infrastructure

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.

We are seeking an experienced Machine Learning/AI Engineer to join our CAD Infrastructure team. The ideal candidate will bridge the gap between traditional semiconductor validation methodologies and cutting-edge AI/ML techniques to revolutionize our post-silicon validation infrastructure.

This role is hybrid role, based out of Santa Clara, CA, Austin, TX or Portland, OR.

Responsibilities:

Develop ML-powered systems for automated post-silicon validation and debug

Build and maintain infrastructure for large-scale silicon characterization and testing

Create predictive models for silicon behavior analysis and performance optimization

Implement AI-driven solutions for anomaly detection in silicon bring-up and validation

Build ML pipelines for processing and analyzing massive post-silicon validation datasets

Develop infrastructure for automated root cause analysis of silicon issues

Experience & Qualifications:

Master's degree or Ph.D. in Computer Science, Electrical Engineering, or related field

5+ years of experience in post-silicon validation, silicon bring-up, or CAD infrastructure development

Strong background in machine learning and deep learning frameworks (PyTorch, TensorFlow)

Proficiency in Python and experience with data analysis libraries (NumPy, Pandas, Scikit-learn)

Strong understanding of computer architecture and instruction set architectures (ISAs)

Experience with post-silicon validation tools and methodologies

Machine Learning: Deep learning, reinforcement learning, neural networks

Programming: Python, C++, Assembly, Shell scripting

ML Frameworks: PyTorch, TensorFlow, Scikit-learn

Debug Tools: ILA, JTAG, trace analyzers

Data Analysis: SQL, Pandas, NumPy, signal processing

Soft Skills

Strong analytical and problem-solving abilities

Excellent communication skills to collaborate with cross-functional teams

Ability to drive innovation in a fast-paced environment

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Due to U.S. Export Control laws and regulations, Tenstorrent is required to ensure compliance with licensing regulations when transferring technology to nationals of certain countries that have been licensing conditions set by the U.S. government.

Our engineering positions and certain engineering support positions require access to information, systems, or technologies that are subject to U.S. Export Control laws and regulations, please note that citizenship/permanent residency, asylee and refugee information and/or documentation will be required and considered as Tenstorrent moves through the employment process.

If a U.S. export license is required, employment will not begin until a license with acceptable conditions is granted by the U.S. government. If a U.S. export license with acceptable conditions is not granted by the U.S. government, then the offer of employment will be rescinded.