远程工作雷达

软件工程师,高性能 onboard 算法

Software Engineer, High-Performance Onboard Algorithms

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$148,000 - $260,000/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。

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,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

作为高性能 onboard 算法软件工程师,你将是我们自动驾驶实时信号处理流程开发与优化的关键贡献者。你将与我们世界级的科学家和工程师团队合作,构建创新、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(摄像头、激光雷达、雷达等)。我们重视原创性、高影响力的想法和严谨的实验验证。
你将…
- 参与由工程师和科学家组成的跨学科团队,打造行业领先的高性能传感器处理堆栈。
- 设计、实现和优化高效的传感器数据采集、处理、融合和过滤算法,确保在目标硬件上实现实时性能。
- 开发下一代信号处理软件,利用并行计算架构(例如CPU、GPU、专用加速器)和底层系统编程。
- 与Waabi的自动驾驶和硬件团队合作,确保整个系统的效率和鲁棒性。
资格要求:
- 计算机体系结构基础。你对现代计算机系统的工作原理有深入理解(多核、向量单元、缓存管理、内存层次结构、网络)。
- 数据并行算法。你在图像/视频处理、压缩以及优化现代神经网络等领域的数据并行和计算密集型算法方面有实践经验。
- 异构计算和系统编程。你能够平衡不同处理器之间的负载,管理数据缓冲区的所有权和移动,并优化整体系统性能。
- 性能分析与优化。你知道如何在复杂代码库中识别瓶颈,并做出优化决策。

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 Software Engineer in High-Performance Onboard Algorithms, you will be a key contributor to the development and optimization of our real-time signal processing pipeline 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 others) 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 Engineers and Scientists working on building a best-in-class, high-performance sensor processing stack.
- Design, implement, and optimize highly efficient algorithms for sensor data acquisition, processing, fusion, and filtering, ensuring real-time performance on target hardware.
- Work on shipping next-generation signal processing software, leveraging parallel computing architectures (e.g., CPU, GPU, specialized accelerators) and low-level system programming.
- Collaborate with Waabi’s autonomy and hardware teams to ensure the efficiency and robustness of the entire system.
Qualifications:
- Fundamentals of computer architecture. You have a deep understanding of how modern computer systems work (multi-core, vector units, cache management, memory hierarchy, networking).
- Data-parallel algorithms. You have experience implementing data-parallel and compute-intensive algorithms in domains such as image/video processing, compression, and optimizing modern neural networks.
- Heterogeneous computing and systems programming. You are comfortable with balancing workloads across multiple different processors, managing the ownership and movement of data buffers, and optimizing for overall system performance.
- Performance profiling and optimization. You know how to identify bottlenecks in a complex codebase and make optimization decisions that have lasting impact.
- Shipping Production Software. You have experience in reading and developing production quality software. You write efficient and maintainable code in a native language such as C++ or Rust (we use Rust and a variety of DSLs).
Bonus:
- Experience with accelerated computing like CUDA, Vulkan, and OpenCL.
- Experience with domain specific languages such as Halide, Taichi, Mojo, or Warp.
- Experience with CPU intrinsics (SSE/AVX, NEON/SVE).
- Experience with embedded systems.
- Shipped production software in one or more of the following areas: image and video processing, compression, streaming algorithms, deep learning, geometry processing.
- Publications in top-tier conferences or journals related to high-performance computing, image processing, computer graphics, computer vision, machine learning, or self-driving technology.

The US yearly salary range for this role is: $148,000 - $260,000 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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