远程工作雷达

资深软件工程师,安全与隐私

Staff Software Engineer, Security & Privacy

开发工程限定地区(需当地身份)
公司Abnormal
薪资未公开
工作地点Remote - USA
地域资格限定地区(需当地身份)
时区要求无特别要求
用工类型未标注
发布时间2026-03-26
数据来源Greenhouse
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注意地域限制:该职位明确限定在 Remote - USA 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。

职位描述

Abnormal AI 正在寻找一位资深软件工程师加入多产品平台部门,负责将安全与隐私作为平台能力进行管理。

我们正在寻找一位分布式系统专家,曾与安全团队紧密合作——能够规模化推动产品安全,并将其转化为清晰、可执行的技术路线图。

你是什么样的人

  • 以第一性原理思考——你能够将复杂、模糊的问题分解为基本要素,然后重新构建为清晰、优先的里程碑,从而实现真正的客户价值。
  • 分布式系统专家——你拥有设计和运营大规模分布式系统的深厚经验,并与安全团队合作构建默认安全的解决方案。
  • 从路线图到现实的执行者——你能够将需求转化为可操作的技术路线图,并领导大型项目从概念到生产。
  • 原生 AI 创新者——你具备应用原生 AI 方法解锁新功能的专业知识和创造力。

你会做什么

  • 推动大规模、跨职能的安全与隐私计划的端到端交付——在保持产品扩展的同时,维持研发速度。
  • 在两年的时间范围内,与工程、产品和业务利益相关者合作,制定多产品平台部门的安全与隐私路线图。
  • 指导和培养下一代技术负责人,提升整个组织的技术标准。

必须条件

  • 计算机科学、电子工程、计算机工程或相关工程领域的学士学位。
  • 8年以上软件工程专业经验。
  • 对分布式系统、大规模系统设计和架构模式有深入的理解。
  • 有产品安全的实际经验。
  • 有主导复杂、跨职能项目的端到端交付的明确记录。
  • 精通 Go 语言和 Python。

加分项

  • 在多个领域(基础设施、数据平台、机器学习等)有经验。
  • 有开源项目、工程博客或行业标准的贡献。

#LI-ML1
实际薪酬将根据多种非歧视性因素确定,包括技能、经验、资格和地理位置。
除基本薪资外,该职位可能有奖金或激励补偿、股权以及全面的福利包。

基本薪资范围:
210,400—302,500 美元 USD

关于 A 的说明

查看英文原文

About the Role

Abnormal AI is seeking a Staff Software Engineer to join the Multi-Product Platform division, owning Security & Privacy as a platform capability.

We're looking for a distributed systems expert who has worked closely with security teams — someone who can drive Product Security  at scale and translate that into clear, executable technical roadmaps.

Who you are

  • First-principles thinker – you break complex, ambiguous problems down to fundamentals, then rebuild them into clear, prioritized milestones that deliver real customer value.
  • Distributed systems expert – you bring deep experience designing and operating large-scale distributed systems, and have partnered with security teams to build secure-by-default solutions.
  • Roadmap-to-reality executor – you transform requirements into actionable technical roadmaps and lead large-scale projects from concept to production.
  • AI-native innovator – you bring expertise and creativity in applying AI-native approaches to unlock new capabilities.

What you will do

  • Drive end-to-end delivery of large-scale, cross-functional Security & Privacy initiatives — keeping pace with product expansion while preserving R&D velocity.
  • Draw the Security & Privacy roadmap for the Multi-Product Platform division across a two year horizon, partnering with engineering, product, and business stakeholders.
  • Mentor and grow the next generation of Tech Leads, raising the technical bar across the organization.

Must Haves

  • BS degree in Computer Science, Electrical Engineering, Computer Engineering or other related engineering field.
  • 8+ years of professional software engineering experience.
  • Deep expertise in distributed systems, large-scale system design and architectural patterns.
  • Hands-on experience with product security.
  • Demonstrated track record of owning end-to-end delivery of complex, cross-functional projects.
  • Proficiency in Golang and Python.

Nice to Have

  • Experience across multiple domains — infrastructure, data platform, machine learning, or similar.
  • Contributions to open-source projects, engineering blogs, or industry standards.

#LI-ML1
Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location.
In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package.

Base salary range:
$210,400—$302,500 USD

A note on AI in our process: 
Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and areas for the interviewer to explore.They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards.

Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.

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