
Sr. Engineer - Data Engineering - Tenstorrent
View Company Profile- Job Title
- Sr. Engineer - Data Engineering
- Job Location
- Austin, Texas, United States; Boston, Massachusetts, United States; Fort Collins, Colorado, United States; Santa Clara, California, United States; Toronto, Ontario, Canada
- Job Listing URL
- https://job-boards.greenhouse.io/tenstorrent/jobs/4706732007
- Job Description
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're building a world-class data platform at Tenstorrent, and we’re looking for a Senior Data Engineer to help lead the charge. This role is all about building reliable pipelines, shaping data architecture, and enabling teams across the company to make smarter, faster decisions.
This role is hybrid or remote, based out of Santa Clara, CA, Austin, TX, Fort Collins, CO, Toronto, ON, or Boston, MA.
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
- Strong Python and SQL skills, with experience in relational databases.
- Comfortable working with Airflow, Terraform, and AWS (S3, EC2, Lambda, etc.).
- Focused on automation, quality, and self-serve data experiences.
- Confident navigating ambiguous, greenfield projects in a fast-moving environment.
What We Need
- Build scalable batch and streaming pipelines end-to-end.
- Partner with teams to translate messy inputs into trusted, analytics-ready data.
- Champion best practices in automation, monitoring, and infrastructure as code.
- Help evolve our hybrid-cloud data platform and tools.
What You Will Learn
- How to scale a modern data stack built for speed, flexibility, and impact.
- How to drive alignment between data engineering and business needs.
- New tools in data orchestration, monitoring, and cloud infrastructure.
- What it means to treat data as a product in a high-growth company.
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.
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Tenstorrent Company Size
Between 100 - 500 employees
Tenstorrent Founded Year
2016
Tenstorrent Total Amount Raised
$1,027,550,016
Tenstorrent Funding Rounds
View funding detailsSeries D
$693,000,000 USD
Series Unknown
$100,000,000 USD
Series C
$200,000,000 USD
Series B
$20,700,000 USD
Series Unknown
$499,999 USD
Series A
$12,500,000 USD
Seed
$850,000 USD