Key facts

Location: Toronto, ON, Canada (hybrid)

Engagement: Full-time

What you'll do
Tackle novel problems in AI compilation, from optimizing computational graphs to designing custom dialects and transformation passes
Build open-source compiler frameworks that support diverse AI models and workloads, including training and multi-chip scaling
Develop expertise in custom MLIR dialects such as TTIR, TTNN, and TTKernel
Contribute to TT-Explorer, a human-in-the-loop compiler optimization tool designed to make advanced tuning accessible to all developers
Collaborate closely with hardware and software teams in an open-source setting

Requirements
Proficiency in C++ and Python
Experience building complex systems that connect high-level frameworks to low-level execution
Familiarity with at least one of PyTorch, JAX, TensorFlow, or deep systems programming
Interest or experience in MLIR and modular compiler frameworks that link AI models to specialized hardware




Ability to work collaboratively across hardware and software disciplines

Nice to have
Background in compilers, systems engineering, or related software domains
Prior contributions to open-source projects

Skills & tools
C++
Python
MLIR
PyTorch, JAX, or TensorFlow
Compiler optimization techniques
Computational graph transformations

Practical notes
Total compensation ranges from $100k to $500k, including base salary and variable targets; actual offers depend on experience, skills, education, background, and location
Employment is contingent on eligibility to access U.S. export-controlled technology under U.S. export laws including the Export Administration Regulations (EAR); applicants from EAR Country Groups D:1, E1, and E2 may require prior license approval from the U.S. Commerce Department or another federal agency

Tenstorrent is an equal prospect employer
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📌 Sr Software Engineer, Ai Compiler Toronto
🏢 Tenstorrent
📍 Toronto