远程工作雷达

资深软件工程师(云和AI)

Staff Software Engineer (Cloud and AI)

AI开发工程限定地区(需当地身份)
公司Readyset
薪资$190,000 - $240,000/年
工作地点United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间今天
数据来源Himalayas
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注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

关于Readyset

在Readyset,我们正在构建一个零集成成本的数据库缓存——只需更换连接字符串,即可将读取延迟从数百毫秒降至不到1毫秒,同时降低成本。它预先计算准备好的语句(即参数化SQL查询)的结果,并随着数据库中底层数据的变化,逐步更新这些结果。

Readyset与MySQL和Postgres兼容,因此可以无需修改代码或数据库即可与现有应用程序集成——无论应用程序是部署在一个区域还是全球范围内,Readyset都让开发者能够轻松构建高性能的网络、分析和内部应用。

我们正在寻找对探索和实现分布式系统及数据库研究前沿充满热情的人才加入我们的全远程团队。如果你对将数据基础设施带入市场,使应用更快、更简单、更容易部署充满热情,那么你非常适合在Readyset工作。

关于这个职位

我们正在寻找一名资深软件工程师,帮助构建下一代AI原生云基础设施:为数据密集型产品提供支持并带来先进的AI能力到生产环境中。我们的云与AI团队行动迅速,交付别人认为不可能的事情,以惊人的速度推出雄心勃勃的系统,同时保持工程严谨性。

我们正在解决的挑战定义了企业级AI系统的标准:

  • 数据新鲜度:确保数据始终是最新的,因为过时的结果会立即损害用户信任。
  • 内存:设计结构化、可检索的内存,使代理能够随着时间的推移可靠地运行,而不仅仅是像短期聊天机器人一样。
  • 成本:通过批处理、缓存和智能模型路由,使重新嵌入、重排序器遍历和LLM调用保持可持续性。

我们认为解决这些挑战是使AI系统达到生产级别关键:在大规模下响应迅速、可靠且经济。

作为资深工程师,你将在设计和运营使这一切成为可能的基础设施中发挥核心作用。

职责

  • 设计并负责关键服务:亲自开发在生产环境中稳健、可扩展且易于操作的系统。
  • 领导高影响力的架构决策,在速度与良好的工程实践之间取得平衡,实现3-4个9的可用性。
  • 跨整个技术栈工作,从分布式云基础设施到如检索、记忆和代理编排等AI驱动的功能。
查看英文原文

About Readyset

At Readyset, we are building a database cache with zero integration cost - just swap your connection string and take read latencies from ~100's of ms to under a ms while reducing costs. It precomputes the results of prepared statements (i.e. parameterized SQL queries) and incrementally updates these results over time as the underlying data in your database changes.

Readyset is wire-compatible with MySQL and Postgres, so it can be integrated with your existing application without code or database changes– Readyset makes it easy for developers to build performant web, analytical, and internal applications regardless of whether they’re deployed to a single region or around the world.

We’re looking for people who are excited about exploring and productionizing the frontier of distributed systems and DB research to join our fully-remote team. You’d be a great fit at Readyset if you're excited about bringing to market data infrastructure that makes applications faster, simpler, and easier to deploy.

About this role

We’re looking for a Staff Software Engineer to help build the next generation of AI-native cloud infrastructure: systems that power data-intensive products and bring advanced AI capabilities into production. Our Cloud and AI team moves fast and delivers what others call impossible, shipping ambitious systems at breakneck speed while maintaining engineering rigor.

The challenges we’re tackling are the ones that define enterprise-scale AI systems:

  • Freshness: ensuring data is always current, since stale results immediately erode user trust.
  • Memory: designing structured, retrievable memory so agents can behave reliably over time, not just like short-lived chatbots.
  • Cost: keeping re-embedding, reranker passes, and LLM calls sustainable through batching, caching, and smart model routing.

We believe solving these challenges is key to making AI systems production-grade: responsive, reliable, and affordable at scale. As a Staff Engineer, you’ll play a central role in designing and operating the infrastructure that makes this possible.

Responsibilities

  • Design and own critical services: hands-on development of systems that are robust, scalable, and simple to operate in production.
  • Lead high-impact architectural decisions, balancing speed with sound engineering for 3–4 9s availability.
  • Work across the stack, from distributed cloud infrastructure to AI-driven features like retrieval, memory, and agent orchestration.
  • Collaborate with leadership and product teams to translate ambitious ideas into reality, fast.
  • Act as a technical leader: mentor engineers, drive engineering culture, and shape the way we build as we scale.
  • Contribute to Readyset’s engineering strategy and vision, not just individual projects

You may be a good fit if you have…

  • 10+ years of software engineering experience, ideally with exposure to databases, data platforms, or large-scale systems.
  • Proven ability to design and run cloud services at scale with high availability (3–4 9s).
  • Experience with AI/ML systems or integrating LLMs into production (retrieval pipelines, memory systems, agent frameworks).
  • Expert backend development experience in Python, Golang, Java, Rust etc.; familiarity with modern frontend frameworks a plus.
  • Deep familiarity with AWS (experience with GCP/Azure a plus).
  • Demonstrated technical leadership: shaping architecture, influencing design, and guiding teams through complexity.
  • A mindset for velocity with rigor: moving fast without compromising sound engineering

Why Readyset
At Readyset, you’ll join a high-caliber team of engineers who have repeatedly built and shipped complex systems at extraordinary speed. We are now adapting our proven database performance technology to address the next generation of AI infrastructure.

This is an opportunity to help build one of the next foundational companies in AI and data infrastructure, with the resources and runway to match. We’ve raised over $28M from top-tier investors to power our growth. As a staff engineer, you won’t just execute; you’ll set direction, shape architecture.
Compensation
The salary range for this role is $190,000-240,000 USD per year. This salary range may include multiple levels. Your level is based on our assessment of your interview performance and experience, which you can always ask the hiring manager about to understand in more detail.

In addition to salary, you’ll receive meaningful equity, giving you real ownership in the company’s growth and success.

Health & Wellness
We offer top-tier medical, dental, and vision coverage. Our plans are designed with flexibility in mind, so you can choose the coverage that best fits your needs.

PTO & Parental Leave
We offer unlimited PTO with minimum vacation recommendations and encourage our team members to take time off whenever they need it. We also offer 90 days of paid parental leave.

Our Values

Continuous Learning and Growth

Having a product rooted in research out of MIT, a commitment to learning is a requisite trait of every team member. We work on cutting-edge problems in distributed systems and are looking for engineers ready to rise to the challenge as we revolutionize the use of SQL in modern web applications. We want to be a company where all employees are excited to continue learning and growing in their area of expertise, no matter which role or team they are a part of.

Healthy Collaboration

Though every team member at Readyset is individually exceptional, many of the problems we are solving have not been solved before. This means engineering at Readyset is a team sport. We strive to give every engineer ownership over their work while giving them the resources they need to produce high-quality solutions. We welcome feedback on our own ideas and create timelines with the assumption that part of every day will be spent helping others. We also trust that during disagreements, every teammate will prioritize finding the best possible solution over being right. We encourage collaboration and humility over ego.

Safety to Fail

As a growth stage company tackling huge engineering challenges, sometimes we fail. When this happens, we don’t place blame or keep score and are willing to acknowledge when we could have done better. Most importantly, we are committed to learning and improving as much as possible from every failure so we have a higher chance of succeeding the next time.

Diversity and Inclusion

ReadySet knows that a diverse workforce directly contributes to a higher quality product for our customers. We have put immense effort into fostering an inclusive, diverse work environment from the time of the company’s founding. We expect everyone to bring empathy and respect to all of their interactions with coworkers and customers. Encouraging everyone to bring their unique perspectives to the table when solving problems helps us build and deliver stronger products.

Originally posted on Himalayas

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