远程工作雷达

高级/资深软件工程师,本地化

Senior / Staff Software Engineer, Localization

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 - $242,000/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 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动力。Waabi得到了人工智能、汽车、物流和深度科技领域领导企业的支持并与其合作。

在多伦多、旧金山、达拉斯和匹兹堡设有办公室,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。如需了解更多信息,请访问:www.waabi.ai

Waabi的本地化团队负责回答自动驾驶中最关键的问题之一:车辆当前的确切位置?作为本地化团队的高级或资深软件工程师,你将成为一个领域专家,设计高精度、稳健的状态估计系统,确保我们的机器人出租车和80,000磅重的卡车安全上路。你将设计算法,无缝融合复杂传感器套件的数据,即使在退化或GPS不可用的环境中,也能提供实时、厘米级准确的姿态估计。你将与世界知名的工程师和科学家合作,将传统机器人状态估计与Waabi的AI优先方法相结合。

你将:
- 作为状态估计领域的深度专家,推动实时车辆定位的可能边界。
- 设计、实现和优化利用IMU、激光雷达、雷达、相机、GNSS、轮速计等的多传感器融合算法。
- 架构和开发用于因子图优化、卡尔曼滤波器等的数学模型。
- 开发高度优化、低延迟的Rust代码,在车辆的各种计算设备上实时运行。
- 与感知和地图团队合作,将地图数据和语义地标紧密集成到本地化流程中。
- 构建严格的评估框架,测量在Waabi World(我们的仿真平台)和实际测试轨道上数百万英里的本地化精度、完整性、容错能力。

资格要求:
- 机器人学、计算机科学、航空航天/电气工程或相关领域的学士、硕士或博士学位,至少5年行业经验。
- 在概率机器人学、状态估计和3D几何(高斯估计、过滤、平滑和映射)方面有深入且严谨的专业知识。
- 有构建和优化在线算法的经验

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

The Localization team at Waabi is responsible for answering one of the most critical questions in autonomous driving: exactly where is the vehicle right now?  As a Senior or Staff Software Engineer on the Localization team, you will be a domain expert architecting the highly precise, robust state estimation systems that keep our robotaxis and 80,000lb trucks safely on the road. You will design algorithms that seamlessly fuse data across a complex sensor suite to provide real-time, centimeter-accurate pose estimation, even in degraded or GPS-denied environments. You will collaborate with world-renowned engineers and scientists to merge traditional robotics state estimation with Waabi's AI-first approach. 
 
You will...
- Act as a deep domain expert in state estimation, pushing the boundaries of what is possible in real-time vehicle localization.
- Design, implement, and optimize robust algorithms for multi-sensor fusion leveraging IMU, LiDAR, Radar, Camera, GNSS, wheel encoders, etc.
- Architect and develop mathematical models to be used in factor graph optimization, Kalman filters, etc.
- Develop highly optimized, low-latency Rust code that runs directly on the vehicle's various compute devices in real-time.
- Partner with the Perception and Mapping teams to tightly couple map data and semantic landmarks into the localization pipeline.
- Build rigorous evaluation frameworks to measure localization accuracy, integrity, fault tolerance across millions of miles in Waabi World (our simulation platform) and on physical test tracks.
 
Qualifications:
- BS, MS, or PhD in Robotics, Computer Science, Aerospace/Electrical Engineering, or related field, with a minimum for 5 years of industry experience.
- Deep, rigorous domain expertise in probabilistic robotics, state estimation, and 3D geometry (Gaussian estimation, filtering, smoothing, and mapping). 
- Proven experience building and optimizing online and/or offline Simultaneous Localization and Mapping (SLAM) systems, including deep knowledge of point-cloud registration algorithms (e.g. ICP).
- Extensive hands-on experience processing and fusing data from physical sensors (IMU, LiDAR, Radar, GNSS, etc.).
- Exceptional systems-level programming skills in modern C++ and/or Rust, with a strong understanding of memory management, concurrency, and real-time computing constraints.
- Proficiency in python for data analysis, prototyping, and tooling.
- Strong mathematical foundation in linear algebra, calculus, and probability theory.
- A proven track record of deploying complex state estimation algorithms onto physical robots or autonomous vehicles operating in the real world. 
 
Bonus/nice to have:
- Familiarity with industry-standard optimization libraries (e.g., GTSAM, Ceres Solver, g2o).
- Experience with "learned localization" - applying deep learning and AI/ML models to improve traditional state estimation and feature matching.
- Experience with high-speed highway autonomous driving constraints.

The US yearly salary range for this role is: $141,000 - $242,000 USD in addition to competitive perks & benefits. Waabi (US) 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 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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