远程工作雷达

系统工程师(资深),安全方法论

Staff Systems Engineer - Safety Methodologies

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$200,000 - $256,000/年
工作地点United States、Canada
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4 天前
数据来源4dayweek.io
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注意地域限制:该职位明确限定在 United States、Canada 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Raquel Urtasun创立,是物理AI领域的领导者。我们拥有世界级的团队,正在通过技术开启自动驾驶运输的新时代,这些技术正在为商用自动驾驶卡车和机器人出租车提供支持。Waabi得到了人工智能、汽车、物流和深度科技领域领导企业的投资并与其合作。

我们在多伦多、旧金山、达拉斯和匹兹堡设有办公室,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,希望以积极的方式影响世界。如需了解更多信息,请访问:www.waabi.ai

我们使命的核心是对安全的坚定承诺。我们正在寻找一位充满热情且经验丰富的安全或系统工程师,负责开发和实施支撑我们无人驾驶自主性准备决策的关键安全框架方法。这是一个独特的机会,可以塑造Waabi如何定量地确保和验证我们的自动驾驶卡车解决方案的安全性,将与我们高度真实的模拟器、真实世界的数据以及前沿的生成式AI技术一起工作。你将在创建安全操作证据方面发挥关键作用,并在迅速发展且具有突破性的领域中引领相关工作。

你将负责:
通过在仿真和封闭场地测试中开发高效样本、高信号的安全数据集,为无人驾驶发布测试提供信息。
建立并管理来自道路监控和安全相关事件的稳健反馈循环,持续扩展和优化测试覆盖范围。
通过对比分析核心安全框架和基准标准,验证和优化安全评估流程,持续演进我们的安全框架。
负责创建清晰且结构化的安全文档,确保所有准备决策都透明且完全可追溯到验证证据。
通过培养技术卓越的文化,指导同事,并推动团队之间的明确、建设性的协作。

要求:
本科及以上学历;工程学科硕士或博士优先。
7年以上汽车、机器人或相关行业经验。
有使用仿真和真实测试做出准备决策的经验。
出色的脚本编写和数据分析能力(Python、SQL),并具备扎实的统计学基础。
有为自动驾驶车辆构建强大安全论据的经验。
能够以简单但准确的方式传达复杂概念或数据。
协作能力强

查看英文原文

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, 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

At the heart of our mission is an unwavering commitment to safety. We are seeking a passionate and experienced safety or systems engineer to spearhead the development and implementation of critical safety framework methods that underpin our driverless autonomy readiness decisions. This is a unique opportunity to shape how Waabi quantitatively ensures and validates the safety of our autonomous trucking solution, working with our highly realistic simulator, real-world data, and cutting-edge generative AI techniques. You will play a pivotal role in creating the evidence for safe operation and leading efforts in a rapidly evolving and groundbreaking field.

You will...
Inform driverless release testing by developing sample-efficient, high-signal safety datasets across simulation and closed-course track testing.
Establish and manage a robust feedback loop from on-road monitoring and safety relevant events to continuously expand and refine test coverage.
Validate and optimize safety evaluation pipelines by conducting comparative analyses on core safety frameworks and benchmark criteria to continuously evolve our safety frameworks.
Own the creation of clear and structured safety artifacts, ensuring all readiness decisions are transparent and fully traceable to validation evidence.
Mentor peers by fostering a culture of technical excellence and driving clear, constructive collaboration between teams.

Qualifications:
Undergrad required; Masters or PhD within an engineering discipline preferred.
7+ years of automotive, robotics or closely related industry experience.
Experience with using simulation and real-world testing to make readiness decisions.
Excellent scripting and data analysis skills (Python, SQL), and a solid foundation in statistics.
Experience with building a strong safety case for autonomous vehicles.
Ability to communicate complex concepts or data in a simple-yet-accurate manner.
Collaborative team player who works effectively across functional boundaries, driving evidence-backed decisions.
Passionate about autonomy, solving hard problems, and creating innovative solutions.

Bonus:
Experience in launching a driverless product.
Experience implementing software systems components.
Experience building software systems from scratch.
Experience in machine learning.
Proficiency with data mining and advanced statistical analysis.

The US yearly salary range for this role is: $200,000  - $256,000 USD in addition to competitive perks & benefits. Waabi US Inc. and Waabi Canada Inc.'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 and Canada locations.  Note: The Company provides additional compensation for employees in this role, including discretionary equity incentive awards and discretionary annual performance bonus.

Perks/Benefits:
Waabi provides a competitive benefits package that includes:
Competitive compensation and equity awards.
Health and Wellness benefits that include Medical, Vision and Dental coverage.
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.
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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