研究工程师，传感器信号处理
Research Engineer, Sensor Signal Processing
Waabi由人工智能先驱Raquel Urtasun创立，是物理AI领域的领导者。凭借世界级的团队，我们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。
在多伦多、旧金山、达拉斯和匹兹堡设有办公室，Waabi正在快速发展，寻找具有多样性、创新性和协作精神的候选人，希望他们能以积极的方式影响世界。如需了解更多信息，请访问：www.waabi.ai
作为传感器信号处理的研究工程师，你将是我们自动驾驶信号处理栈研发的关键贡献者。你将与我们世界级的科学家和工程师团队合作，开发创新、实用且可扩展的解决方案，以低延迟和高可靠性处理大量传感器数据（包括摄像头、激光雷达、雷达和其他模态）。我们重视原创性、高影响力的创意和严谨的实验验证。
你将…
- 作为跨学科科学家和工程师团队的一员，参与将多样环境下采集的原始传感器数据转化为自动驾驶有用信号的系统开发。
- 设计和实现用于传感器数据采集、融合和过滤的新颖信号处理技术。
- 优化信号处理算法，使其适用于并行计算架构（例如CPU、GPU、DSP和专用加速器）。
- 与Waabi的自主驾驶和硬件团队合作，确保整个系统的鲁棒性。
- 有机会为提交至顶级会议或期刊的高影响力研究论文做出贡献（例如TSP、TIP、ICRA、IROS、CVPR、NeurIPS、SIGGRAPH、HPG）。
资格要求：
- 信号处理理论与实践。你对信号处理的基础知识有深入理解，包括经典方法（滤波、估计）和基于学习的方法（图像去噪和超分辨率、2D和3D分割）。你知道如何将底层数学原理（Toeplitz矩阵、频谱带宽、M估计器）应用于设计在真实传感器数据上运行的稳健数值算法。
- 实时和嵌入式系统。你有在延迟敏感算法中处理高吞吐量数据输入的经验，所有操作都在有限的计算和内存预算下进行。
- 快速原型开发和生产软件交付。
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
As a Research Engineer in Sensor Signal Processing, you will be a key contributor to the research and development of Waabi’s signal processing stack for autonomous driving. You will collaborate with our team of world-renowned scientists and engineers to build innovative, practical, and scalable solutions that handle massive amounts of sensor data (camera, LiDAR, radar, and other modalities) with low latency and high reliability. We value original, high-impact ideas and rigorous experimental validation.
You will…
- Be part of a multidisciplinary team of scientists and engineers working on a system that turns raw sensor data captured under diverse environments into useful signals for autonomous driving.
- Design and implement novel signal processing techniques for sensor data acquisition, fusion, and filtering.
- Optimize signal processing algorithms for deployment on parallel computing architectures (e.g., CPU, GPU, DSP, and specialized accelerators).
- Collaborate with Waabi’s autonomy and hardware teams to ensure the robustness of the entire system.
- Have the opportunity to make contributions to high-impact research papers submitted to top conferences or journals (e.g., TSP, TIP, ICRA, IROS, CVPR, NeurIPS, SIGGRAPH, HPG).
Qualifications:
- Signal Processing Theory and Practice. You have a thorough understanding of the fundamentals of signal processing, both classical (filtering, estimation) and learning-based (image denoising and super-resolution, 2D and 3D segmentation). You know how to apply insights from the underlying mathematics (Toeplitz matrices, spectral bandwidth, M-estimators) to design robust numerical algorithms that operate on data from real-world sensors.
- Real-time and Embedded Systems You have experience working with high-throughput data inputs in latency-sensitive algorithms, all under a limited compute and memory budget.
- Rapid Prototyping and Shipping Production Software. You are comfortable rapidly building proofs of concept in a high level language like Python, Julia, or MATLAB. You are equally comfortable reading and developing production-quality software.
Bonus:
- Industry experience in 1D (audio), 2D (image), 3D (point cloud), or 4D (radar) signal processing.
- Experience with numerical algorithms and mathematical optimization: BLAS, CHOLMOD, Gauss-Newton, L-BFGS, linear programming.
- Experience with real-time methods: causal and recursive filters, recurrent neural networks, transformers
- Experience with systems programming: buffer management, asynchronous communication, hardware accelerators.
- Solid knowledge in performance profiling and optimization.
The US yearly salary range for this role is: $155,000 - $269,000 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.