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TPU Kernel Engineer, AI Infrastructure

Model AI AI/ML

Location

Seattle, Washington

Compensation

Not disclosed

Level

mid

Type

full time · On-site

Posted by employer 8 months ago

First seen on Joblaze 2 months ago

Last verified on the company career page 1 day ago

Apply at Model AI → Save job Scanned from modelcorp.ai

Skills & Technologies

AI/ML

Not disclosed in this posting: compensation, years of experience, visa sponsorship.

Joblaze summary

In this role, the TPU Kernel Engineer focuses on optimizing and developing kernel-level software for Tensor Processing Units, ensuring high performance for AI workloads. Proficiency in C++ and experience with machine learning frameworks are essential, along with a solid understanding of hardware-software interactions. This position is ideal for experienced engineers with a background in systems programming and a passion for AI infrastructure. Model AI is known for its innovative approach to artificial intelligence, making it an exciting environment for tech enthusiasts.

Joblaze insights

Listed about 2 months ago — first seen on Joblaze September 5, 2026. Last confirmed on Model AI's careers page November 4, 2026.
AI/ML appears in 53.5% of 462 comparable mid ai/ml roles in United States.

Quick facts

Is the TPU Kernel Engineer, AI Infrastructure role remote?: No — this is an on-site role in Seattle, Washington.
Where is the role based?: Model AI is hiring for this position in Seattle, Washington.
What's the tech stack?: Joblaze extracted these technologies from the posting: AI/ML.
What seniority level is this role?: Model AI targets mid-level candidates for this position.
Is this full-time or contract?: Full-time for this TPU Kernel Engineer, AI Infrastructure role at Model AI.