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.

As part of the Data Science and Engineering team, you will help grow the reach and scope of Tenstorrent's data engineering and data science workflows, including batch processing, streaming, metadata management, and machine learning. The ideal candidate for this role excels at building end-to-end data processing automations running on a modern and scalable hybrid-cloud data infrastructure. You have experience with writing Python data processing code and working with SQL databases. You are excited to learn how to work with a lean and modern data stack to build data pipelines and insights, supported by experienced data engineers and data scientists.

This role ison-site, based out of Toronto, Canada; Austin, Texas or Santa Clara, California.

Responsibilities:

Design and implement end-to-end data pipelines to process batch data at small to medium scale, employing cutting-edge data processing and orchestration methodologies, including distributed computing solutions when applicable.
Support collaboration with data producers and data consumers to identify product requirements and structure effective implementation of solutions.
Contribute to IaC for the data platform.
Support data consumers with insight generation using our curated datasets and dashboarding tools.

Experience & Qualifications:

Excellent Python programming skills, with a focus on data processing.
Strong SQL skills.
Experience designing data models and working with SQL databases.
Experience working with time-series data.
Experience with dashboarding and visualization tools, such as Apache Superset, Grafana, etc.
Comfortable using Agile development methodologies and industry standard software development lifecycle processes (Git, Github, Jira).
Experience with Apache Airflow nice to have.
Familiarity with IaC technologies (such as Terraform) nice to have.

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.

Data Science Intern

Tenstorrent