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GPU Supercomputing Engineer at Thinking Machines Lab - ApplyBlast

GPU Supercomputing Engineer

Thinking Machines Lab

2 months ago

Remote

Full Time

Senior

0 applicants

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About this role

Thinking Machines is seeking an engineer to design, build, and operate a large‑scale GPU supercomputing environment that supports high‑performance training and inference workloads. The role focuses on delivering reliable, cost‑efficient compute resources, automating cluster management, and collaborating with researchers to enable scalable AI development.

Responsibilities

Operate and automate large GPU clusters
Write software that abstracts cluster management
Partner with researchers to unblock scale runs

Skills

Qualifications

Bachelor's degree

About Thinking Machines Lab

thinkingmachines.ai

Headquarters

San Francisco, California, United States

Company Size

1-10 employees

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Thinking Machines Lab is an artificial intelligence research and product company focused on making advanced AI systems more widely understood, customizable, and generally capable. They aim to close gaps between rapidly advancing capabilities and the scientific/public understanding of how these systems are trained and used. Through research, public-facing writing (the Connectionism blog), and products such as their recently introduced Tinker, they build tools and knowledge to help people and organizations tailor AI to their needs and values.