Tenstorrent at a glance
tenstorrent.comSEC filings mentioning "Tenstorrent": 2 — search EDGAR
Tenstorrent
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.
Join the team revolutionizing AI computing at Tenstorrent. You’ll work on TT-Forge, our MLIR-based compiler that enables developers to run AI on all configurations of Tenstorrent hardware using an open-source, performant, and general-purpose compiler. You will be at the forefront of the AI hardware revolution, building compiler technologies that redefine what’s possible.
This role is hybrid, and can be based out of Santa Clara, CA; Austin, TX; or 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 passionate software engineer eager to work on compiler technologies and the challenges of AI hardware, whether from compilers, systems, or broader software backgrounds.
- Fluent in C++ and Python, with experience building complex systems that bridge high-level frameworks to low-level execution.
- Excited by compiler optimization and machine learning, with experience in PyTorch, JAX, TensorFlow, or deep systems programming.
- A collaborative problem-solver who thrives in open-source and enjoys working closely with hardware and software engineers.
What We Need
- A drive to solve novel challenges in AI compilation, from optimizing computational graphs to creating custom dialects and transformation passes.
- Experience or strong interest in MLIR and how modular compiler frameworks connect AI models to advanced hardware.
- Motivation to build technology that impacts the future of AI, knowing your work will enable the next wave of breakthroughs.
What You Will Learn
- How to build open-source compiler frameworks supporting diverse AI models and workloads, including training and multi-chip scaling.
- Deep expertise in compiler technologies including custom MLIR dialects (TTIR, TTNN, TTKernel) and transformation passes.
- New methods for human-in-the-loop compiler optimization using TT-Explorer, making advanced tuning tools usable by all developers.
- How compiler technology powers Tenstorrent’s mission to deliver affordable, open-source AI computing in a highly competitive space.
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.
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.
To apply for this job please visit job-boards.greenhouse.io.
Terms used in this posting
- hybrid
- A work arrangement combining both in-office and remote/at-home work, typically on a set schedule.
Explore Tenstorrent online
What people say about Tenstorrent
- Jim Keller's startup is building a factory to mass-produce small chip fabs
- Qualcomm Linux 2.0
- GLM 5.2 beats Claude in our benchmarks
Recent news
- Tenstorrent Unveils TT-QuietBox(TM) 2, the First RISC-V AI Workstation With a Fully Open-Source Stack to Deliver Teraflop-Class Inference - Enterprise News
- Jim Keller on Tenstorrent’s BlackHole Scaling and IPO Ambitions - EE Times
- Qualcomm's Tenstorrent Deal Looks Less Likely - Yahoo Finance
- Qualcomm considers acquiring AI chip firm Tenstorrent - Data Center Dynamics
- Tenstorrent - 2026 Funding Rounds & List of Investors - Tracxn
Aggregated from public discussions and news; opinions are the authors’ own.
Working in Austin, Travis County
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Austin is the capital city of the U.S. state of Texas. With a population of 961,855 at the 2020 census, it is the 12th-most populous city in the U.S., fifth-most populous city in Texas, and second-most populous U.S. state capital, while the Austin metro area with an estimated 2.55 million residents is the 25th-largest metropolitan area in the nation. Austin is the county seat and most populous city of Travis County, with portions extending into Hays and Williamson counties. Incorporated on December 27, 1839, it has been one of the fastest-growing large cities in the United States since 2010.
Texas is the most populous state in the Southern United States. It borders the American states of Louisiana to the east, Arkansas to the northeast, Oklahoma to the north, and New Mexico to the west. To the south and southwest, it has an international border with the Mexican states of Chihuahua, Coahuila, Nuevo León, and Tamaulipas, along a natural boundary formed by the Rio Grande. Texas has a coa
🇨🇦 Relocation safety for Canada: Very Safe — via Warnely, CC BY 4.0
National unemployment rate in Canada: 6.9% — via World Bank
- Elevation 177m (581 ft)
Source: Wikipedia (state)
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Accommodations: if you need a workplace accommodation to apply for or perform this job, see ADA.gov or EEOC.gov for guidance on your rights and how to request one.
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