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.
Our Tensix Team is building the future of AI compute with a ground-up
architecture centered on scalable RISC-V processors. As we push performance
boundaries, we’re reimagining the frontend of our RISC-V cores to deliver major
gains in programmability, efficiency, and developer experience. This is a rare
opportunity to shape the CPU architecture at the heart of our AI platform and
lead one of the most strategic technical efforts at Tenstorrent.
This role is hybrid, based out of Toronto, ON or Austin, TX.
We welcome candidates at various experience levels. 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
- An experienced architect with over 10 years in CPU performance modeling and
microarchitecture.
- Proficient in C++ and Python, with a strong understanding of RISC-V
instruction-set.
- Well versed in compiler design and how software stacks impact CPU performance
and programmability.
- Familiar with open-source RISC-V cores and LLVM toolchains, including adding
custom optimization passes.
What We Need
- Analyze AI workloads to identify CPU performance requirements and
bottlenecks.
- Architect custom RISC-V CPU cores optimized for performance, power, and area.
- Design custom instructions that improve performance without sacrificing
programmability.
- Collaborate across compilers, software, and hardware teams to co-design
Tenstorrent’s next-gen compute architecture.
What You Will Learn
- How modern AI models stress CPU architecture and influence design decisions.
- The interplay between compiler design, CPU microarchitecture, and real-world
performance.
- How Tenstorrent’s unified hardware-software stack enables breakthrough
performance for general-purpose AI compute.
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.
