AI Compiler Engineer (MLIR) for Open-Source AI Platform

Tenstorrent; Austin (TX); Hybrid; USD 100,000 - 500,000; Full time

Benefits offered by this job

Competitive compensation package

Benefits

Equal opportunity employer

Job summary

Tenstorrent is revolutionizing AI computing, seeking passionate software engineers to develop cutting-edge compiler technologies. The role is hybrid and can be located in Santa Clara, Austin, or Toronto. You'll engage in optimizing computational graphs and building open-source frameworks that connect AI models to advanced hardware.

With a competitive compensation range and strong company culture, Tenstorrent values collaboration and problem-solving among its diverse technology team.

Qualifications

• Eager to work on compiler technologies and AI hardware challenges.
• Fluent in C++ and Python with experience in complex systems.
• Experience or strong interest in MLIR and modular compiler frameworks.

Responsibilities

• Build open-source compiler frameworks supporting diverse AI models.
• Optimize computational graphs and create custom dialects.
• Advance methods for human-in-the-loop compiler optimization.

Skills

C++

Python

Machine learning

Compiler optimization

Experience with PyTorch, JAX, TensorFlow

Job description

Tenstorrent is revolutionizing AI computing, seeking passionate software engineers to develop cutting-edge compiler technologies. The role is hybrid and can be located in Santa Clara, Austin, or Toronto. You'll engage in optimizing computational graphs and building open-source frameworks that connect AI models to advanced hardware.

With a competitive compensation range and strong company culture, Tenstorrent values collaboration and problem-solving among its diverse technology team.