MTS - Design Engineer
Read straight from Attention's careers page, verified 3d ago.Seekless can tailor your résumé to it.
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Before you apply
SalaryNo pay range posted
LocationSan Francisco Bay Area, California
Work modeon-site
Typefull-time
SeniorityLead
DepartmentTechnical Staff
Company size2+ people
PostedAug 8, 2025 · 1y ago
Verified live3d ago
May no longer be actively hiring
Posted by the company on Aug 8, 2025No pay range listed, though California requires one
At a glanceSummarised by Seekless from the posting.
If you’re excited to take extreme ownership, have conviction in novel design ideas, and want to help engineer the most ambitious application for AI
If you are either the best in the world at your craft or a brilliant 15 to 20-something-year-old with a steep growth curve
if you truly care about helping build something *Great*
About Attention Engineering
The gap between how top engineers around the world use AI systems today - elaborate coding agent configs, massive context files, and engineered workflows - and how everyone else uses it is only growing.
We think the company that bridges the gap to create a sovereign product that understands and multiplies the rest of the worlds output will be one of the most important companies built in this decade.
The Team
We’re a small team of builders/researchers. We’ve worked at companies like Citadel, Jane Street, and Optiver, published papers at the top AI conferences, won IOI gold medals, and more.
If your background doesn’t fit cleanly into one of the buckets above, that’s fine. We care about ownership, experience building, and slope, rather than your pedigree.
The Role
apply to join us:
•
If you’re excited to take extreme ownership, have conviction in novel design ideas, and want to help engineer the most ambitious application for AI
•
If you are either the best in the world at your craft or a brilliant 15 to 20-something-year-old with a steep growth curve
•
if you truly care about helping build something Great
You will design and build directly on the product with no layers between you and the decisions that matter.
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