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Waabi

Autonomous trucking software licensing to OEMs

Staff Planner SW Quality Architect

Robotics & Autonomous SystemsConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A Master of Science, PhD, or bachelor's degree in Computer Science, Robotics, or a similar technical field, plus a minimum of 6 years of industry experience.
  • Experience owning software on a shipped product with reliability requirements.
  • Strong grasp of software engineering principles, including code review, unit testing, scalability, maintainability, software architecture, and the full software lifecycle.
  • Experience with planning and decision-making approaches such as optimal control, optimization-based approaches, search methods, or probabilistic decision-making.
  • Production-quality coding skills in Python or C++.
  • Ability to maintain progress toward long-term goals while working on short-term problems.

Responsibilities

  • Lead software quality for the Planner Architecture, focusing on building robust fault-tolerance systems to resolve critical downstream and upstream performance bottlenecks and ensure continuous, safe vehicle operation.
  • Act as a technical bridge and enabler between the Motion Planning and Onboard Software teams, driving overall software quality improvement and reliability.
  • Design and develop motion-planning software and algorithms for decision-making in dynamic, uncertain, and interactive traffic scenarios.
  • Work with multidisciplinary engineers and research scientists using an AI-first approach to enable safe self-driving at scale.
  • Manage the experimentation pipeline for research and data generation.

About the Company

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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