Systems Engineering Manager
New York · 全职 · 工程与基础设施
需要对标的能力
Agent · 智能体设计上下文工程 · 记忆管理模型微调 · Post-TrainingAI Infra · 推理部署成本优化 · 性能调优权限 · 沙箱 · 治理AI 工程设计模式
岗位职责与要求
ABOUT US:
AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
THE ROLE:
We’re looking for an Engineering Manager to lead a team of highly experienced engineers building the infrastructure that powers Modal’s serverless GPU platform. This is a hands-on leadership role. Expect to split your time between technical contribution and people management depending on what the team needs. You’ll set direction, remove blockers, and build a strong engineering culture as your team tackles hard problems in distributed computing, large-scale data handling, and performance optimization.
WHAT YOU’LL WORK ON:
Team
- Recruit, hire, and grow a high-performing team of cloud platform engineers; run regular 1:1s focused on coaching, feedback, and career growth
- Set clear performance expectations, hold a high bar, and build an environment where engineers do their best work
- Foster a culture of ownership, accountability, and continuous improvement
Technical Direction
- Drive day-to-day technical decisions through design reviews, code reviews, and architectural discussions
- Translate the infrastructure roadmap into clear team priorities and milestones, and hold execution against them
- Establish standards for reliability, performance, and operational excellence; ensure the team owns projects end-to-end, from spec through production
- Push for good judgment on tooling and architecture, with a bias against unnecessary complexity
Cross-Functional & Incident Leadership
- Partner with product and engineering to align infrastructure work with business priorities; represent your team’s progress, capacity, and tradeoffs clearly to leadership
- Serve as the escalation point for major incidents; drive resolution with urgency and ensure the team learns systematically, feeding those learnings back into infrastructure improvements
YOU MAY BE A FIT IF:
- You have 10+ years of industry experience, including 3+ years in a leadership role
- You have a track record of building high-performance distributed systems at scale
- You have a strong background in cloud infrastructure
- You have deep knowledge of low-level OS foundations (Linux kernel, file systems, containers, etc.)
- You’re proficient in a systems-level language (Rust, C, C++, or Java)
- You’re an experienced engineering leader who stays close to the work and builds alongside your team when it counts
- You earn trust through technical depth, not title
- You communicate clearly, help strong engineers move fast without cutting corners, and stay calm and pragmatic under pressure
- You care as much about how your team gets to an answer as about the answer itself
查看中文参考译文
关于我们:
AI 需要一个新的基础设施层。我们正在 Modal 构建它。
每一个计算时代都带来了前一代基础设施无法支持的新工作负载:大型机、数据库和云。每一次,重建底层基础设施的公司都定义了那个时代。AI 也不例外,只是它触及一切而非单一领域,而构建其底层基础设施的窗口此刻正在开启。
我们的客户包括定义品类的公司,如 Lovable https://modal.com/blog/lovable-case-study、Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal、Cognition、DoorDash 和 Suno。他们依赖 Modal 实现即时 GPU 访问、亚秒级容器启动和原生存储,从而轻松实现低延迟 inference、模型 fine-tuning,以及大规模访问生产就绪的 sandbox。
我们最近完成了 3.55 亿美元的 C 轮融资 https://modal.com/blog/modal-series-c,估值达 46.5 亿美元,由 General Catalyst 和 Redpoint Ventures 领投。我们的 ARR 已超过 3 亿美元,自九月以来增长了五倍。
我们的团队包括知名开源项目的创建者(例如 Seaborn https://github.com/mwaskom/seaborn、Luigi https://github.com/spotify/luigi)、学术研究人员、国际奥赛奖牌获得者,以及拥有数十年经验的资深工程和产品负责人。
职位:
我们正在寻找一位 Engineering Manager 来领导一支经验丰富的工程师团队。这是一个亲力亲为的领导岗位,你将根据需求把大约一半时间用于技术贡献,一半时间用于人员管理。你将与团队紧密合作,设定方向、排除障碍、培育强大的工程文化,同时应对分布式计算、大规模数据处理和性能优化方面的复杂系统挑战。
我们寻找的你:
我们认为你是一位经验丰富的工程领导者,乐于贴近工作,并在需要时与团队并肩构建。你通过技术深度赢得信任,沟通清晰明了,帮助优秀的工程师快速行动并做出明智决策。你在快节奏的环境中茁壮成长,务实、压力下保持冷静,并专注于影响力。
要求:
- 至少 10 年行业经验,其中包括 3 年领导岗位经验
- 有大规模构建 high-performance distributed systems 的经验
- 深厚的 cloud infrastructure 背景
- 扎实的 low-level operating system 基础(Linux kernel、file systems、containers 等)
- 精通 systems-level 语言,如 Rust、C、C++ 或 Java
译文仅供辅助阅读,具体要求以原始招聘来源为准。