高级/资深研究工程师，仿真资产与内容系统
Senior / Staff Research Engineer, Simulation Assets & Content Systems
Waabi由人工智能先知Raquel Urtasun创立，是物理AI领域的领导者。我们拥有世界级的团队，正在通过技术解锁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，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
你将……
成为一支跨学科研究科学家和工程师团队的一员，构建一流多传感器仿真堆栈的内容基础。
从原始传感器日志到仿真就绪表示（例如，3DGS、NeRF、网格、混合），端到端地设计和负责资产流水线：验证、打包，并将其部署到Waabi World中。
设计跨传统网格/材质资产、神经表示和生成模型输出的异构资产库的模式、格式和存储方式。负责从格式和压缩到流媒体和跨渲染器互操作性的设计决策。
构建工具和可视化功能，使研究科学家、仿真工程师和技术艺术家能够以数万项资产的规模进行检查、比较、调试和整理——包括搜索、相似性、来源和回归审查。
将前沿研究成果集成到流水线中——与神经渲染和生成式AI团队合作，将最新的重建、扩散和世界模型技术作为资产生命周期中的第一优先步骤进行产品化。
与自主性和安全性团队合作，确保资产目录满足训练和闭环评估的多样性、真实性和覆盖需求。
资格要求：
交付生产软件。你有在大规模下阅读和开发生产级软件的经验，而不仅仅是原型。你已经交付了其他工程师和研究人员日常依赖的系统。
3D内容流水线。你构建或扩展过大规模的3D内容流水线——包括采集、处理、验证、版本控制和部署：用于图形、仿真、视觉特效、游戏、机器人或自动驾驶。你了解在数万资产时出现的故障模式。
现代3D表示。你至少对以下几种表示方式熟悉：传统网格/材质/PBR、OpenUSD、NeR
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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
You will…
Be part of a multidisciplinary team of Research Scientists and Engineers building the content backbone of a best-in-class multi-sensor simulation stack.
Architect and own asset pipelines end-to-end: From raw sensor logs all the way into simulation-ready representations (e.g., 3DGS, NeRF, mesh, hybrid), validation, packaging, and serving into Waabi World.
Design schemas, formats, and storage for a heterogeneous asset library spanning traditional mesh/material assets, neural representations, and generative-model outputs. Ownership of design decisions ranging from formats and compression, to streaming, and cross-renderer interop.
Build tooling and visualization that lets research scientists, simulation engineers, and technical artists inspect, compare, debug, and curate assets at the scale of tens of thousands of items — including search, similarity, lineage, and regression review.
Integrate cutting-edge research into the pipeline — collaborate with the neural rendering and generative AI teams to productionize the latest reconstruction, diffusion, and world-model techniques as first-class steps in the asset lifecycle.
Collaborate with autonomy and safety teams to ensure the asset catalog meets the diversity, realism, and coverage demands of training and closed-loop evaluation.
Qualifications:
Shipping Production Software. You have experience reading and developing production-quality software at scale, not just prototypes. You have shipped systems that other engineers and researchers depend on day-to-day.
3D Content Pipelines. You have built or extended large-scale 3D content pipelines — ingestion, processing, validation, versioning, and serving: for graphics, simulation, VFX, games, robotics, or AV. You understand the failure modes that emerge at tens of thousands of assets.
Modern 3D Representations. You are fluent across at least several of: traditional mesh/material/PBR, OpenUSD, NeRF, 3D Gaussian Splatting, and procedural/generative content. You understand the trade-offs between paradigms — fidelity, edit-ability, runtime cost, storage, interop, and can make pragmatic choices.
Cloud Infrastructure at Scale. Experience designing, launching, and debugging GPU jobs in the cloud (AWS, GCP, or equivalent), including job orchestration, cost modeling, and throughput optimization for batch and pipeline workloads.
Strong software engineering fundamentals. You write efficient and maintainable code in Python, as well as in at least one native systems language such as C++ or Rust
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.