Silicon Power & Characterization Engineer

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.

Tenstorrent is seeking a skilled Engineer to contribute to post-silicon power characterization and correlation activities for cutting-edge semiconductor products. In this role, you will help develop and execute power measurement strategies on silicon, analyze results against pre-silicon models, and support improvements across power architecture, design, and modeling methodologies. You will work closely with design, architecture, validation, and systems teams to help ensure silicon meets power and performance specifications under a range of operating conditions.

This role is hybrid, based out of Toronto, ON.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who you are

• A hands-on engineer with solid experience in silicon power analysis and characterization and a background in EE, CE, or a related field.

• Comfortable learning complex AI SoC architectures and power domains step by step, asking good questions and documenting what you learn.

• Confident in the lab using oscilloscopes, power measurement tools, and basic scripting (e.g., Python or MATLAB) to run and debug measurements.

• A collaborative communicator who enjoys working with senior engineers and turning data into clear updates and proposals.

What we need