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Cognition
San Francisco, California, United States; New York City, NY, United States
Source: Cognition careers · View original posting
From Cognition's posting. “We” and “our” refer to the employer.
We are an applied AI lab building end-to-end software agents.
We're the makers of Devin, the first AI software engineer.
Our team is extremely talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.
Building Devin is just the first step—our hardest challenges still lie ahead. If you’re excited to solve some of the world’s biggest problems and build AI that can reason on real-world tasks, apply to join us.
Role Mission
Software Engineers at Cognition are not feature builders. You will be working on some of the hardest open problems in applied AI: how do you build an agent that can reason across thousands of lines of code, spawn and coordinate subagents, use tools reliably across ambiguous long-horizon tasks, and do all of this in a way that a real engineer would trust? You will ship systems that go directly into Devin and Windsurf, two products that millions of developers use to write, debug, and ship code.
This is a role for engineers who want to be close to the frontier, who can move fast without cutting corners, and who believe the next 5 years of software engineering will look fundamentally different from the last 5.
Design and ship the systems that power Devin's long-horizon task execution: tool use, context management, multi-step planning, subagent orchestration, and sandboxed code execution environments.
Contribute to editor intelligence, agent-in-the-loop workflows, real-time code understanding, and the developer experience that makes Windsurf different from every other IDE.
Work directly with researchers to translate new model capabilities into shipped features; your feedback shapes what gets prioritized in training.
Build systems that handle millions of agentic tasks with low latency, high reliability, and the kind of correctness that developers depend on in production.
Cognition is defining what AI software engineering looks like. You will have real input into what gets built next and why.
Exceptional Candidates Have Demonstrated
Experience building reliable, performant distributed systems; you have strong opinions about correctness, failure modes, and production behavior.
You care about how the software you build feels to use and you have shipped things that real people depend on.
You can make progress on hard problems with incomplete specs, learn fast from results, and course-correct without needing a lot of direction.
A track record of shipping quickly while maintaining the kind of code quality that a high-density team expects.
You have dug into how LLMs work, how agents fail, and what it takes to make AI-powered systems behave reliably in the real world.
Python is the primary language across Cognition's codebase; you write clean, well-structured Python and are comfortable owning large Python codebases in production.
Prior experience at a frontier AI lab, applied AI company, or developer tools company; you know what good looks like in this category.
BS, MS, or equivalent in Computer Science, Mathematics, Engineering, or a related technical discipline from a highly selective program.
Compensation
$260,000 - $300,000 + Significant early-stage equity
Fully paid for you and your dependents
401(k):
Company match included
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