Sobre esta vaga de Software Engineering Intern, Power Modeling & AI Tools na Tenstorrent University Jobs
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.
Who You Are
- 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.
What We Need
- Experience with Python and comfort working in code-first analysis environments.
- Familiarity with SQL, notebooks, scripting workflows, and Git-based development practices.
- Ability to build visualizations, dashboards, or lightweight analytical tools to communicate insights.
- Support the development of software tools, automation workflows, and data-driven solutions for engineering applications.
What You Will Learn
- How AI-enabled software workflows are applied to real-world engineering challenges.
- How to leverage LLMs, AI agents, and natural-language interfaces to improve productivity and automation.
- How engineering teams use data, analytics, and internal tools to make informed technical decisions.
- Exposure to hardware, systems, performance, power modeling, and semiconductor-related data.
USA Hiring Timelines
This internship opportunity is available throughout our 3 terms with the following corresponding recruitment cycles:
- Winter Term: Jan–Apr work term, Sept–Dec recruit.
- Summer Term: May–Aug work term, Oct–Apr recruit.
- Fall Term: Sept–Dec work term, Jan–Aug recruit.
Please note these timelines are for reference only. Actual timelines may vary.
Compensation for all interns at Tenstorrent ranges from $50/hr - $70/hr 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.This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.
