Software Engineer, AI Compiler
About The Position
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.
Requirements
- 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.
Responsibilities
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
Number of Employees
101-250 employees
