Principal Engineer, AI Compiler job opportunity at Tenstorrent.

Home Jobs In Canada Tag: Engineering Principal Engineer, AI Compiler position at Tenstorrent


bot
Tenstorrent Principal Engineer, AI Compiler
Experience: 7-years
Pattern: hybrid
Country:
apply Apply Now
Salary:
Status:

Engineering

Copy Link Report
degreeBachelor's (B.Sc.)
loacation Toronto, Ontario, Canada
loacation Toronto, Ontar..........Canada

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 out of 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 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 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 Will 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.

Other Ai Matches

Principal Engineer, AI Compiler Applicants are expected to have a solid experience in handling Engineering related tasks