Senior / Staff Perception Engineer
Confirmed live in the last 24 hours

51-200 employees

Develops AI-powered self-driving technology and simulators
Company Overview
Waabi, led by AI pioneer Raquel Urtasun, is a frontrunner in the self-driving technology industry, leveraging advanced AI to enhance safety and accelerate the commercialization of autonomous vehicles. The company's competitive edge lies in its proprietary simulator, Waabi World, which allows for comprehensive testing and development of their self-driving system, the Waabi Driver, in a cost-effective and secure virtual environment. Backed by a diverse range of top-tier investors and a world-class team, Waabi's commitment to technical excellence and industry leadership makes it an attractive workplace for those seeking to shape the future of transportation.
AI & Machine Learning
Data & Analytics
Industrial & Manufacturing

Company Stage

Series A

Total Funding





Toronto, Canada

Growth & Insights

6 month growth


1 year growth


2 year growth

Toronto, ON, Canada • San Francisco, CA, USA • Remote in USA
Experience Level
Desired Skills
Computer Vision
Data Structures & Algorithms
AI & Machine Learning
Software Engineering
  • MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Computer Science, Machine Learning and/or similar technical field(s) of study
  • Experience working on applied research projects
  • Experience driving projects on 3D detection, tracking of traffic agents and/or semantic understanding of various traffic scenes
  • Passion for taking research ideas and turning them into practical solutions for real-world applications
  • Solid understanding of computing fundamentals, including code efficiency
  • Proficient in Python programming with a focus on writing high-quality, well-structured, and tested code
  • Comfortable working 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
  • Open-minded and collaborative team player with the willingness to help others
  • Experience and excitement in supporting a fast-paced high-growth environment
  • Passionate about being part of an organization solving self-driving technologies
  • Prototype, evaluate, and iterate on perception algorithms, using real-world data and simulations, to improve the accuracy, robustness, and safety of our self-driving technology. This includes working on 3D detection and tracking of traffic agents as well as semantic understanding of various traffic scenes
  • Formulate problems and propose pragmatic and long-term solutions based on research insights, leveraging your expertise in deep learning, computer vision, and self-driving
  • Support productizing and deploying perception algorithms to our self-driving vehicles, collaborating closely with platform teams to ensure seamless integration of research findings into our self-driving system
  • Champion engineering excellence, ensuring high-quality, well structured and tested code
  • Collaborate in a multidisciplinary team solving problems related to perception, motion forecasting, planning, traffic modeling and sensor simulation, integrating research findings into our self-driving system and contributing to the development of a unified self-driving platform
  • Stay up-to-date with the latest advancements in the field of artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature
  • Work with large datasets from various sources as well as Waabi World, our high-fidelity simulator
  • Contribute to the publication of research findings in conferences as well as Waabi's blog
Desired Qualifications
  • Experience in shipping machine learning features/models into production
  • 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 in working with platform teams and collaborating with research teams to implement and validate deep learning models
  • Proficiency in Pytorch, Rust, C++ and/or CUDA