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Senior / Staff Perception Software Engineer

Waabi· Software – Autonomy & Algorithms
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Hybrid (Remote US & Canada), Hybrid (Dallas, TX), Hybrid (Phoenix, AZ), Hybrid (Pittsburgh, PA), Hybrid (San Francisco, CA), Hybrid (Toronto, ON)$158k - $269kFull-timePosted 7mo ago

About the role

Senior/Staff Perception Engineer focusing on advancing and deploying perception algorithms for Waabi's self-driving vehicles, collaborating with a multidisciplinary team to bring research ideas into production.

Responsibilities

  • 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 AI, ML, CV, 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.

Qualifications

  • 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 and shipping machine learning features/models into production.
  • 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.

Skills

Required:Python3D detection and trackingDeep learning / Computer visionLarge datasets / data handlingResearch-to-production

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.
Last updated Oct 21, 2026. Interested? Apply on the company site.

About Waabi

pioneering Physical AI, starting with autonomous trucks.

Waabi is pioneering Physical AI, starting with autonomous trucks. We developed a next-generation approach leveraging an end-to-end interpretable and verifiable AI model that’s powered by the industry's most realistic neural simulator. This dramatically reduces the development time and resources needed to bring self-driving vehicles to public roads — safely and at scale.

Autonomous trucksPhysical AIneural simulatorAI modelself-driving vehicles
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