远程工作雷达

高级/资深软件工程师,网络工具

Senior / Staff Software Engineer, Web Tools

开发工程限定地区(需当地身份)与中国几乎无重叠,需长期倒时差
公司Waabi
薪资$141,000 - $249,000/年
工作地点Canada、United States
地域资格限定地区(需当地身份)
时区要求与中国几乎无重叠,需长期倒时差
用工类型permanent
发布时间2026-06-23
数据来源4dayweek.io
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注意地域限制:该职位明确限定在 Canada、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。
作息提示:与中国几乎无重叠,需长期倒时差。

Waabi由人工智能先驱和愿景家Raquel Urtasun创立,是一家致力于打造下一代自动驾驶技术的AI公司。凭借世界级的团队和创新的方法,Waabi利用AI的力量在现实世界中“安全驾驶”,使自动驾驶的承诺比以往任何时候都更接近商业化。Waabi得到了科技、物流以及加拿大创新生态系统的顶级投资者的支持。

位于多伦多和旧金山的办公室,Waabi正在快速成长,寻找具有多样性、创新性和协作精神的候选人,他们希望以积极的方式影响世界。
如需了解更多,请访问:www.waabi.ai

在工具团队,我们构建解决Waabi特定问题并加速开发的软件工具。我们在软件组织内拥有相对独特的技能,使我们能够构建这些工具。工具团队负责并维护已构建的服务。在这个团队中,你将改进我们现有的服务套件,并通过新工具进行扩展。

你将...
- 主导技术和架构讨论,与研究人员和工程师合作。
- 通过代码审查、技术设计审查和分享通用软件开发最佳实践来指导其他软件工程师。
- 成为一支跨学科工程师和研究人员团队的一员,采用AI优先的方法实现大规模安全自动驾驶。
- 构建和维护交互式网络工具,包括交互式模拟、自定义标注工具、数据标注工具、数据集整理工具、结果比较工具等。

资格要求:
- 计算机科学、计算机工程或相关工程领域的学士学位。
- 5年以上开发生产级软件的行业经验。
- 具备使用现代网络技术/库构建响应式网络应用的经验。例如:TypeScript、React 或类似语言和工具。
- 具备多种后端技术和语言的经验。例如:Go、Python、Rust、C++。
- 具备使用云基础设施的经验,如AWS或GCP。
- 快速学习新技术的能力。
- 对使用你创建和维护的工具的人有同理心。
- 思想开放、善于协作的团队成员,愿意帮助他人。
- 对自动驾驶技术充满热情,喜欢解决难题并创造创新解决方案。

加分项/有优势:
- 具备使用容器和云基础设施的经验

查看英文原文

Waabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem.
 
With offices in Toronto and San Francisco, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way.
To learn more visit: www.waabi.ai
 
On Tools, we build software tools that solve Waabi-specific problems and accelerate development. We have a relatively unique set of skills within the software organization that lets us build those tools. The Tools team owns and maintain services that have been built. In this team you will improve on our existing suite of services, and expanding it with new tools.
 
You will...
- Lead technical and architecture discussions, collaborating with Researchers and Engineers.
- Mentor other software engineers via code reviews, technical design reviews, and sharing general software development best practices.
- Be part of a team of multidisciplinary Engineers and Researchers using an AI-first approach to enable safe self-driving at scale.
- Build and maintain interactive web tools including interactive simulation, custom labelling tools, data annotation tools, dataset curation tools, result comparison tools, and more.
 
Qualifications:
- Bachelor’s degree in Computer Science, Computer Engineering or related engineering disciplines.
- 5+ years of industry experience developing production quality software.
- Experience with modern web technologies/libraries for building responsive web applications. Examples: TypeScript, React, or similar languages and tools.
- Experience with a variety of backend technologies and languages. Examples:  Go, Python, Rust, C++.
- Experience with cloud infrastructure such as AWS or GCP.- Ability to learn new technologies quickly.
- Empathy for the people who will use the tools you create and maintain.
- Open-minded and collaborative team player with willingness to help others.
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
 
 
Bonus/ nice to have: 
- Experience working with container and cloud infrastructure and managing infrastructure-as-code.
- Experience with 3D visualization (WebGL) / real-time interactive systems.
- Experience with web visualization libraries such as D3.js, three.js, or similar.
- Previous experience or passion in UX/design.
- Experience with software development tools including build system, version control, continuous integration, containers, packaging, profiling, debugging, code review, linting, test automation, and test coverage tools.
- Experience in ML and self-driving.
- Experience working with robotics or machine learning research teams.
- Experience working in an Agile/Scrum environment.
 
The US yearly salary range for this role is: $141,000 - $249,000 in addition to competitive perks & benefits. Waabi’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations.  Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve! 
 
Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
 
Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.

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