Waabi

Waabi is an AI company pioneering the next generation of autonomous trucking technology powered by Generative AI. Its flagship product, the Waabi Driver, is an end-to-end trained AI stack designed for safe, scalable, and efficient autonomous truck operation, adaptable to any hardware and suitable for factory-level OEM integration and large-scale commercialization. Waabi also develops Waabi World, a highly advanced, scalable simulation platform that uses Generative AI to create realistic virtual environments for testing and development, significantly reducing costs and time compared to real-world testing. Led by AI and self-driving expert Raquel Urtasun, Waabi is positioned at the forefront of AI innovation in autonomous vehicles, aiming to transform logistics with safer, more sustainable solutions. The company has notable partnerships, including with Volvo, and has received significant media attention and funding, underscoring its traction and market potential.

AI InnovationAutonomous TruckingGenerative AILogisticsSafetyScalable AISelf-driving TechnologySimulationwaabi.ai

Waabi

AI InnovationAutonomous TruckingGenerative AILogisticsSafetyScalable AISelf-driving TechnologySimulationwaabi.ai

HQToronto, CA

Team Size256

Open Jobs60

Total Funding$283M

Latest Fundraise2 years ago

Join the Team

Senior / Staff Software Engineer, Web Tools

HybridCalifornia, US

Hybrid • California, US

Waabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem.

With offices in Toronto and San Francisco, 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

On Tools, we build software tools that solve Waabi-specific problems and accelerate development. We have a relatively unique set of skills within the software organization that lets us build those tools. The Tools team owns and maintain services that have been built. In this team you will improve on our existing suite of services, and expanding it with new tools.

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

Backend Developer

Part-timeNew York, US

Part-time • New York, US

Machine Learning Engineer

ContractJerusalem

Contract • Jerusalem

DevOps Engineer

InternshipSan Francisco, US

Internship • San Francisco, US

Machine Learning Engineer

Full-timeMunich, DE

Full-time • Munich, DE

DevOps Engineer

Full-timeRotterdam, NL

Full-time • Rotterdam, NL

DevOps Engineer

Part-timeNew York, US

Part-time • New York, US

TL;DR

Company Overview

Funding Track Record

Founders

What we do

Waabi

AI InnovationAutonomous TruckingGenerative AILogisticsSafetyScalable AISelf-driving TechnologySimulationwaabi.ai

Waabi

AI InnovationAutonomous TruckingGenerative AILogisticsSafetyScalable AISelf-driving TechnologySimulationwaabi.ai

HQToronto, CA

Team Size256

Open Jobs60

Total Funding$283M

Latest Fundraise2 years ago

Join the Team

Senior / Staff Software Engineer, Web Tools

HybridCalifornia, US

Hybrid • California, US

With offices in Toronto and San Francisco, 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

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

Backend Developer

Part-timeNew York, US

Part-time • New York, US

Machine Learning Engineer

ContractJerusalem

Contract • Jerusalem

DevOps Engineer

InternshipSan Francisco, US

Internship • San Francisco, US

Machine Learning Engineer

Full-timeMunich, DE

Full-time • Munich, DE

DevOps Engineer

Full-timeRotterdam, NL

Full-time • Rotterdam, NL

DevOps Engineer

Part-timeNew York, US

Part-time • New York, US

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.
Be part of a team of multidisciplinary Engineers and Researchers using an AI-first approach to enable safe self-driving at scale.
Build and maintain interactive web tools including interactive simulation, custom labelling tools, data annotation tools, dataset curation tools, result comparison tools, and more.

Bachelor’s degree in Computer Science, Computer Engineering or related engineering disciplines.
5+ years of industry experience developing production quality software.
Experience with modern web technologies/libraries for building responsive web applications. Examples: TypeScript, React, or similar languages and tools.
Experience with a variety of backend technologies and languages. Examples: Go, Python, Rust, C++.
Experience with cloud infrastructure such as AWS or GCP.- Ability to learn new technologies quickly.
Empathy for the people who will use the tools you create and maintain.- 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 working with container and cloud infrastructure and managing infrastructure-as-code.
Experience with 3D visualization (WebGL) / real-time interactive systems.
Experience with web visualization libraries such as D3.js , three.js , or similar.
Previous experience or passion in UX/design.
Experience with software development tools including build system, version control, continuous integration, containers, packaging, profiling, debugging, code review, linting, test automation, and test coverage tools.
Experience in ML and self-driving.
Experience working with robotics or machine learning research teams.
Experience working in an Agile/Scrum environment.

The US yearly salary range for this role is: $141,000 - $249,000 in addition to competitive perks & benefits. Waabi’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

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.
As we grow, this list continues to evolve!

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.