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 You will…
Be part of a team of multidisciplinary Engineers and Researchers using an AI-first approach to enable safe self-driving at scale.
Build reliable and scalable tools and frameworks to support Autonomous Vehicle (AV) development.
Lead technical and architecture discussions, collaborating with Researchers and Engineers.
Mentor other software engineers via code reviews, technical design reviews, and sharing general software development best practices.
Assist in task planning and estimation. Qualifications
MS/PhD or Bachelors degree with a Computer Science, Robotics and/or similar technical field(s) of study.
5+ years of industry experience reading and developing production quality software..
Experience using languages such as Python, Go, C++, or Rust.
Experience working in a team environment on a common codebase.
Ability to learn new technologies quickly.
Open-minded and collaborative team player with willingness to help others.
Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Bonus/nice to have:
Experience programming in C++ for a real world robotic system.
Comfortable with Linux/other unix environments.
Comfortable with Docker.
Comfortable with git workflows.
Experience in robotics or machine learning.
Experience with automated testing.
Experience working in an Agile/Scrum environment.
Experience working with internal cross-functional partners/stakeholders when building software frameworks.
Experience in one or more of the following areas: application development, distributed systems, data storage and processing, parallel computing environments, emulation at scale, software performance, optimization, and profiling, concurrency and determinism, test-driven and API-driven development methodologies, system design/architecture, algorithms, data structure design, and low level threading. Front-end development and tools.