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Principal Engineer, AI Compiler

Austin, Texas, United States

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. In this role you will lead development on TT-Forge, our MLIR-based compiler, and manage a team focused on scaling graph transformations, lowering passes, and kernel-level optimizations. You’ll help shape the future of AI computing through compiler technology that is fast, flexible, and built for real-world models.
 
This role is hybrid based in 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.
 
What We Need
  • Leadership to drive compiler development across multiple layers of the stack, including custom dialects, transformation passes, and runtime integration.
  • Alignment with hardware, software, and ML teams to ensure the compiler supports realistic performance and deployment needs.
  • Technical ownership of roadmap priorities, planning, and mentorship for a high-performing engineering team.
  • Insight to identify bottlenecks, debug performance issues, and improve developer workflows across the stack.
What You Bring
  • Extensive experience building compilers or similar systems, with strong fluency in C++ and Python.
  • Strong knoweledge of MLIR, LLVM, or related infrastructure, with hands-on work in dialect design or optimization passes.
  • You have a strong understanding of modern AI frameworks like PyTorch, TensorFlow, or JAX, including how models are transformed and executed.
  • A background in working across teams to ship reliable, scalable tools in fast-paced engineering environments.
What You’ll Learn
  • How to build compiler infrastructure that supports both training and inference at scale across custom chip architectures.
  • New approaches for human-in-the-loop optimization using TT-Explorer and other internal tooling.
  • Best practices for evolving MLIR dialects like TTIR, TTNN, and TTKernel to support next-generation AI workloads.
  • How Tenstorrent delivers open, performant, and developer-friendly AI infrastructure that scales with industry demands.

 

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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