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Waabi

Autonomous trucking software licensing to OEMs

Senior / Staff Perception Software Engineer

Computer VisionConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A Master of Science, PhD, or Bachelor's degree in Computer Science, Machine Learning, or a similar technical field, with at least four years of industry experience.
  • Experience working on applied research projects and shipping machine learning features or models into production.
  • Experience driving projects involving 3D detection, tracking traffic agents, or semantic understanding of traffic scenes.
  • Solid understanding of computing fundamentals, including code efficiency.
  • Proficiency in Python, including writing high-quality, well-structured, tested code.
  • Ability to work with large datasets for machine learning applications.
  • Strong grasp of machine learning and computer vision literature, including current trends and state-of-the-art techniques.

Responsibilities

  • Prototype, evaluate, and iterate on perception algorithms using real-world data and simulations to improve the accuracy, robustness, and safety of self-driving technology, including 3D detection and tracking of traffic agents and semantic understanding of traffic scenes.
  • Formulate problems and propose pragmatic, long-term solutions based on research insights, drawing on expertise in deep learning, computer vision, and self-driving.
  • Support the productization and deployment of perception algorithms to self-driving vehicles, collaborating with platform teams to integrate research findings into the self-driving system.
  • Ensure code is high-quality, well-structured, and tested.
  • Collaborate with a multidisciplinary team on perception, motion forecasting, planning, traffic modeling, and sensor simulation, integrating research findings into the self-driving system and contributing to a unified self-driving platform.
  • Keep up with advancements in artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature.
  • Work with large datasets from various sources and Waabi World, the company's high-fidelity simulator.
  • Contribute to publishing research findings in conferences and on Waabi's blog.

Desired Qualifications

  • Previous experience in multimodal sensor fusion.
  • Previous experience in self-driving technology or related fields.
  • Publications in top-tier conferences or journals related to computer vision, machine learning, or robotics.
  • Experience working with platform teams and collaborating with research teams to implement and validate deep learning models.
  • Proficiency in PyTorch, Rust, C++, or CUDA.

About the Company

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Waabi

Autonomous trucking software licensing to OEMs

Waabi develops autonomous trucking technology. Its flagship Waabi Driver is a self-driving system that can be trained to make decisions, apply learned skills to new routes and terrains, and work with different hardware setups. A key part of its approach is Waabi World, a sophisticated simulation environment that lets the system be trained and tested virtually, reducing real-world driving miles, lowering costs, and increasing safety. The company licenses this technology to trucking fleets and OEMs for factory-level integration, aiming for large-scale commercialization. What sets Waabi apart is its emphasis on end-to-end training, geography and hardware adaptability, and its strong leadership in AI and self-driving research. Its goal is to bring safe, affordable autonomous trucking to scale by licensing the Waabi Driver to industry players and enabling widespread deployment.

Company size
201-500
Company stage
Series C
Total funding
$1B
Headquarters
Toronto, Canada
Founded
2021

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