软件工程师，客户端基础设施
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Software Engineer, Client InfrastructureCursor (Anysphere) · San Francisco; New York
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职位描述
机器翻译我们的使命是实现编码自动化。我们旅程的第一步是打造面向专业程序员的最佳工具，融合富有创造力的研究、设计与工程。我们的组织非常扁平，团队规模小但人才密集。我们尤其欣赏求真、充满热情且富有创造力的人。我们享受激烈的辩论、疯狂的想法，以及不断交付代码。
岗位职责
作为 SpaceXAI 客户端基础设施团队的工程师，你将设计并构建让我们的桌面体验在数百万开发者面前保持高性能和稳定性的系统。 你将参与 Cursor 客户端的核心架构工作——从构建和分发系统，到性能监测以及其它团队所依赖的共享抽象。这项工作技术性极强，对公司的成功至关重要。开发者期望他们信赖的工具具备近乎完美的性能和可靠性；你的工作将使之成为可能。 Cursor 的客户端正在快速增长，覆盖 macOS、Windows 和 Linux，服务于越来越多来自众多编程语言和开发者生态的专业工程师用户群体。你将塑造让我们能够安全、快速交付的系统，同时在 AI 驱动的开发环境中不断突破可能性的边界。 示例项目包括…… • 构建核心客户端基础设施：共享抽象、构建系统和可观测性基础。
• 提升可靠性和性能：消除内存泄漏、崩溃和帧时间不一致。
• 设计用于性能分析、结构化日志和性能度量的监测与遥测系统。
• 与产品团队合作以加快发布速度——每天向用户交付更新。
• 评估关键代码路径采用 Electron 还是原生方案，指导架构权衡。
• 构建内部工具，使其他工程师能够在客户端平台上安全、快速地交付。
你可能适合，如果 • 你在客户端基础设施方面拥有深厚经验——构建系统、性能、分发或可观测性。
• 你构建或参与过高性能桌面应用，无论是基于 Electron 还是原生。
• 你非常重视性能、可靠性和开发者体验，并对优雅的系统设计有敏锐眼光。
• 你能在快节奏、协作性强且以产品为中心的环境中茁壮成长。
• 你对在 AI 驱动的开发者工具中突破可能性边界感到兴奋。
申请 如果看起来合适，我们会联系你安排 2-3 场简短的技术面试。之后，我们会安排一次在我们办公室的现场面试，届时你将参与一个小项目、讨论想法并认识团队。 #LI-DNI
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职位描述
Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.
岗位职责
As an Engineer on the Client Infrastructure team at SpaceXAI, you’ll design and build the systems that make our desktop experience performant and stable for millions of developers. You’ll work across the core architecture of the Cursor client—from build and distribution systems to performance instrumentation and shared abstractions that other teams rely on. The work is deeply technical and central to the company’s success. Developers expect near-perfect performance and reliability from their trusted tools; your work will make that possible. Cursor’s client is growing fast, spanning macOS, Windows, and Linux, and serving an increasingly diverse user base of professional engineers across many programming languages and developer ecosystems. You’ll shape the systems that let us ship safely and quickly, while pushing the limits of what’s possible in an AI-driven development environment. Example projects include... • Building core client infrastructure: shared abstractions, build systems, and observability foundations.
• Improving reliability and performance: eliminating memory leaks, crashes, and frame-time inconsistencies.
• Designing instrumentation and telemetry systems for profiling, structured logging, and performance measurement.
• Partnering with product teams to unlock faster release velocity—shipping updates to users daily.
• Evaluating Electron vs. native approaches for critical code paths, guiding architectural tradeoffs.
• Building internal tooling that enables other engineers to ship safely and quickly on the client platform.
You may be a fit if • You have deep experience in client infrastructure—build systems, performance, distribution, or observability.
• You’ve built or contributed to high-performance desktop applications, whether Electron-based or native.
• You care deeply about performance, reliability, and developer experience, and have an eye for elegant systems design.
• You thrive in environments that are fast-moving, collaborative, and product-focused.
• You’re excited to push the limits of what’s possible in AI-driven developer tools.
Applying If there appears to be a fit, we'll reach to schedule 2-3 short technicals. After, we'll schedule an onsite in our office, where you'll work on a small project, discuss ideas, and meet the team. #LI-DNI