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NEXTMOVEFDE careers · United States
Waabi

Senior Software Engineer, Auto Labelling

AI summary of the role

Senior software engineer on the auto-labelling team at Waabi, building a large-scale offline perception and auto-labelling system.

What you’ll do

  • Build a cutting-edge offline perception and auto-labelling system using computer vision and machine learning
  • Manage end-to-end orchestration of large-scale auto-labelling training, evaluation, and automation ecosystem
  • Architect and scale pipelines for large-scale data and user requests using distributed computing
  • Collaborate with ML researchers and engineers to deploy new architectures into production

What you’ll bring

  • Bachelor's degree in Computer Science, Robotics, or similar technical field
  • 3+ years developing solutions in ML systems or ML software stack
  • Deep understanding of ML system architecture, performance analysis, and profiling tools
  • Experience with end-to-end productionization of deep learning models, especially large-scale online inference

Technologies

Python · ML systems · distributed computing · deep learning · online inference · computer vision · LIDAR · point clouds · multi-modal sensor fusion · Vision-Language Models

About Waabi

Builds a verifiable end-to-end autonomy stack and neural simulator that help trucking partners deploy self-driving freight faster, with the same core model now expanding into robotaxis.

Series C

Source and classification

Internal deployment & tooling · Evidence for this classification:

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 team of multidisciplinary Research Scientists and Engineers working on building a cutting-edge offline perception and auto-labelling system leveraging computer vision, and machine learning. - Manage the end-to-end orchestration of the large-scale auto-labelling training, evaluation and automation
More from the job description

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 team of multidisciplinary Research Scientists and Engineers working on building a cutting-edge offline perception and auto-labelling system leveraging computer vision, and machine learning. - Manage the end-to-end orchestration of the large-scale auto-labelling training, evaluation and automation eco-system. - Architect and scale the pipeline to handle large-scale data and user requests using distributed computing frameworks. - Collaborate with ML researchers and engineers to seamlessly deploy new architectures into the production environment. Qualifications: - Bachelors degree with a Computer Science, Robotics and/or similar technical field(s) of study. - 3+ years of experience developing solutions in ML systems or the ML software stack. - Deep understanding of ML system architecture [... source excerpt omitted ...] nization of deep learning models, particularly large-scale online inference. - Proficient in Python with a track record of writing high-quality, well-structured, and well-tested "production-grade" code. - Open-minded and collaborative team player with the willingness to help others. Bonus/nice to have: - Familiarity with 3D data (LIDAR/Point Clouds) and multi-modal sensor fusion perception models. - Experience working with large Vision-Language Models (VLMs) The US yearly salary range for this role is: $170,000 - $220,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Compa

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