Software Engineering Intern, Power Modeling & AI Tools

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 hiring a Software Engineering Intern, Power Modeling & AI Tools to join our team.

In this role, you will work with experienced engineers to help scale next-generation power modeling workflows for CPU and AI products.

You will build tools, automation, and data-driven solutions that make complex engineering data and models more accessible, intuitive, and actionable.

Your work will include integrating and analyzing engineering data, developing internal tools and scripts, creating visualizations and AI-enabled interfaces, and supporting workload profiling, model validation, and analytics to improve power model accuracy and reliability.

You will also contribute to modern software workflows, including LLM-based tools and agentic AI interfaces, while following strong software development practices.

This role is on-site based out of Santa Clara, CA.

• A software-minded engineer with strong analytical skills and curiosity about AI-enabled engineering workflows.
• Currently pursuing a degree in Computer Science, Data Science, Statistics, Mathematics, Electrical Engineering, or a related quantitative field.
• A strong problem solver who enjoys working with complex technical datasets and developing practical solutions.
• A collaborative teammate with strong communication skills and a willingness to learn new tools, APIs, and engineering workflows.