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

Simulation is at the core of Waabi’s approach to autonomous vehicle development. Our closed-loop simulation engine built with the latest in generative AI technologies, Waabi World, provides an extremely realistic environment for training and evaluating self-driving systems. The Simulation Platform team is responsible for delivering a modular and scalable platform which integrates the onboard autonomy system, intelligent actor models, and sensor simulation.

You will...

• Contribute to and improve our state of the art self-driving simulator Waabi World to accelerate autonomous vehicle (AV) development.
• Improve the scalability and performance of the simulation platform to run simulations efficiently at an extremely large scale.
• Design and implement orchestration software between simulation subcomponents including the autonomy system, data-driven actor models, and sensor simulation powered by generative AI.
• Participate and share ideas in technical and architecture discussions, collaborating with researchers and engineers.
• Work closely with internal users to understand their requirements and workflows and propose new features to streamline and improve their experience using the simulator.
• Advocate and set patterns for software development.
• Drive complex cross-functional technical projects with impact across Waabi’s systems and company-wide impact.

Qualifications:

• MS/PhD or Bachelors degree with a minimum of 5 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.
• Experience with a variety of backend technologies and languages. Examples: Rust (Preferred), C++, Python.
• Experience developing and maintaining production quality software, versus only creating prototypes/proof of concepts.
• Linux/Unix experience
• Understanding of test-driven and API-driven development methodologies.
• Experience designing interfaces between systems.