岗位能力对标
Cognition

Software Engineer

San Francisco / New York City · 全职 · 算法与研究

源站发布:2026-08-06资料抓取:2026-11-10查看原始招聘来源

需要对标的能力

AI 应用 · 人机协同Agent · 智能体设计工具调用 · Function Calling上下文工程 · 记忆管理Agent 工程 · Harness / 脚手架成本优化 · 性能调优权限 · 沙箱 · 治理AI 工程设计模式

岗位职责与要求

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 https://cognition.com/documents/Cognition-Global-Applicant-and-Job-Candidate-Privacy-Notice.pdf. For US applicants, by submitting your application, you agree to the Applicant Arbitration Agreement https://cognition.com/documents/Cognition-Applicant-Arbitration-Agreement.pdf.
查看中文参考译文
我们是一家应用 AI 实验室,致力于构建端到端的 software agents。 我们是 Devin 的创造者——全球首位 AI 软件工程师。 我们的团队人才密度极高。创始团队成员包括世界级 competitive programmers、前创始人,以及来自 AI 前沿公司的领导者,包括 Scale AI、Palantir、Cursor、Waymo、Tesla、Lunchclub、Modal、Google DeepMind 和 Nuro。 构建 Devin 只是第一步——最艰巨的挑战仍在前面。如果你渴望解决世界上最大的难题之一,并构建能够在真实世界任务中进行推理的 AI,欢迎申请加入我们。 ROLE MISSION Cognition 的软件工程师不是功能构建者。你将致力于应用 AI 中最困难的一些开放性问题:如何构建一个能够跨数千行代码进行推理、生成并协调 subagents、在模糊的长程任务中可靠使用工具,并以真实工程师能够信任的方式完成所有这一切的 agent?你将交付直接集成到 Devin 和 Windsurf 两个产品中的系统,数百万开发者使用它们来编写、调试和交付代码。这是一个为希望贴近前沿、能够快速推进而不走捷径、并相信未来 5 年的软件工程将与过去 5 年截然不同的工程师而设的岗位。 WHAT YOU'LL ACCOMPLISH - 构建核心 agent 基础设施:设计并交付支撑 Devin 长程任务执行的系统:tool use、context management、multi-step planning、subagent orchestration,以及 sandboxed code execution environments。 - 将 Windsurf 打造为 AI-native IDE:为 editor intelligence、agent-in-the-loop workflows、real-time code understanding 以及使 Windsurf 区别于其他 IDE 的 developer experience 做出贡献。 - 打通 models 与 products 之间的闭环:与研究人员直接合作,将新的 model capabilities 转化为已交付的功能;你的反馈会影响 training 中的优先级排序。 - 在规模上保障可靠性与性能:构建能够处理数百万 agentic tasks 的系统,实现低延迟、高可靠性,以及开发者在生产环境中依赖的正确性。 - 推动品类前进:Cognition 正在定义 AI software engineering 的形态。你将对接下来构建什么以及为何构建有真正的话语权。 EXCEPTIONAL CANDIDATES HAVE DEMONSTRATED - Systems engineering 深度:有构建可靠、高性能 distributed systems 的经验;你对 correctness、failure modes 和 production behavior 有坚定的见解。 - Product instinct:你关心自己构建的软件在使用时的感受,并且交付过真实用户依赖的产品。 - 适应模糊性:你能够在需求不完整的情况下推进难题,从结果中快速学习,并在不需要大量指导的情况下调整方向。 - 速度而不走捷径:有快速交付的记录,同时保持 high-density team 所期望的代码质量。 - 对 agents 和 AI 的好奇心:你深入研究过 LLMs 的工作原理、agents 如何失败,以及让 AI-powered systems 在真实世界中可靠运行所需的条件。 - 扎实的 Python 能力:Python 是 Cognition 代码库的主要语言;你能写出干净、结构良好的 Python,并能够胜任生产环境中大型 Python codebases 的维护。 - 相关的行业经验:有在 frontier AI lab、applied AI company 或 developer tools company 的工作经验;你了解这个领域中"好"的标准是什么。 - 顶尖院校学位:Computer Science、Mathematics、Engineering 或相关技术领域的 BS、MS 或同等学位,来自 highly selective program。 COMPENSATION & BENEFITS - Base Salary: $260,000 - $300,000 + 丰厚的早期股权 - Medical, Dental, Vision: 为你及你的家属全额支付 - Perks: 私人厨师、舒适拖鞋、无限量零食等

译文仅供辅助阅读,具体要求以原始招聘来源为准。