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Active3mo ago

Software Engineer

Cognition·📍 San Francisco, California, United States

Employment

FULL TIME

Work mode

On-site

Experience

Not stated

Salary

$230,500–$355,500 / year · Jobiba est.

Market pay estimate

$230,500–$355,500 / year for comparable Software Engineer roles in San Francisco. Estimated from 354 similar postings (medium confidence) — not stated by the employer.

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Role overview

Job description

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. What You'll Accomplish Build core agent infrastructure: 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. Improve Windsurf as an AI-native IDE: 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. Close the loop between models and products: Work directly with researchers to translate new model capabilities into shipped features; your feedback shapes what gets prioritized in training. Own reliability and performance at scale: Build systems that handle millions of agentic tasks with low latency, high reliability, and the kind of correctness that developers depend on in production. Move the category forward: 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 Systems engineering depth: Experience building reliable, performant distributed systems; you have strong opinions about correctness, failure modes, and production behavior. Product instinct: You care about how the software you build feels to use and you have shipped things that real people depend on. Comfort with ambiguity: You can make progress on hard problems with incomplete specs, learn fast from results, and course-correct without needing a lot of direction. Velocity without shortcuts: A track record of shipping quickly while maintaining the kind of code quality that a high-density team expects. Curiosity about agents and AI: 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. Strong Python proficiency: Python is the primary language across Cognition's codebase; you write clean, well-structured Python and are comfortable owning large Python codebases in production. Relevant industry experience: Prior experience at a frontier AI lab, applied AI company, or developer tools company; you know what good looks like in this category. Degree from a top-tier university: BS, MS, or equivalent in Computer Science, Mathematics, Engineering, or a related technical discipline from a highly selective program. Compensation & Benefits Base Salary: $260,000 - $300,000 + Significant early-stage equity Medical, Dental, Vision: Fully paid for you and your dependents 401(k): Company match included Perks: Private chef, cozy slippers, endless snacks, and more Our Commitment Equal Opportunity. Cognition is an equal opportunity employer. We do not discriminate on the basis of any protected characteristic under applicable law. We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process - please let us know if you need any. Cognition also considers applicants with criminal histories consistent with the SF Fair Chance Ordinance and similar local laws. Data Privacy and Arbitration: By submitting your application, you agree to our Global Applicant and Job Candidate Privacy Notice . For US applicants, by submitting your application, you agree to the Applicant Arbitration Agreement .

About this listing

  • Source: Cognition's official careers site (via Ashby) · last confirmed on the source 6 Nov 2026
  • Posted 6 Aug 2026

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Role market pulse

How Software Engineer demand looks in United States

82/100 · hot

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Posted 30d

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What they are looking for

Skills & requirements

Qualification

Degree from a top-tier university: BS, MS, or equivalent in Computer Science, Mathematics, Engineering, or a related technical discipline from a highly selective program

Department · Research & Development

Hiring company

Cognition

Technology

Cognition is the applied AI lab behind Devin, the first autonomous software engineer. We build agents and tools that expand human capacity.

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San Francisco, California, United States· Full-time· Remote
Exact matchBelow typical pay

$160K – $200K/yr

LI
San Francisco, California, United States· Full-time
Exact match

$230.5K – $355.5K/yr · Jobiba est.Estimated from 354 similar postings (medium confidence) — not stated by the employer.

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