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 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. Youll 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.
Who You Are
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 We Need
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 Youll 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.
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.
Required Experience:
IC
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 d...
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 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. Youll 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.
Who You Are
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 We Need
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 Youll 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.
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.
Tenstorrent is a next-generation computing company that builds computers for AI. Headquartered in the U.S. with offices in Austin, Texas, and Silicon Valley, and global offices in Toronto, Belgrade, Seoul, Tokyo, and Bangalore, Tenstorrent brings together experts in the field of compu
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