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.
On the Commercial Software team, we are building the platform that interfaces with the autonomous vehicle which enables customers and internal operations to manage fleet of trucks. We're a full stack web development team that works closely with our onboard team to integrate our platform and the vehicle, partners with the commercial team to build automated integrations with our customers' systems, and collaborate with design to create polished, seamless interfaces.
You will...
- Be part of a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale.
- Build reliable and scalable tools and framework to support Autonomous Vehicle (AV) development.
- Develop innovative solutions for challenging problems with scalable, production quality software.
- Receive hands-on work experience in identifying requirements, building and deploying software.
- Work closely and learn from the best developers in Autonomous Vehicles and Machine Learning.
- Build a strong foundation of software development principles and patterns.
Qualifications:
- Bachelor’s degree in Computer Science, Computer Engineering or related engineering disciplines.
- 2+ years of industry experience developing production quality software.
- Demonstrated software engineering experience through internships, work experience, or coding competitions.
- Proficient in reading and developing production quality software; experience with Go or Typescript.
- Open-minded and collaborative team player with willingness to help others.
Bonus/ nice to have:
- Experience in one or more of the following areas: modern web technologies, distributed systems, data storage and processing, cloud infrastructures, test-driven and API-driven development methodologies, and system design/architecture.
- Experience in ML and self-driving.
- Experience working with robotics or machine learning research teams.
- Experience working in an Agile/Scrum environment.
The Canada yearly salary range for this role is: $149,000 - 220,000 CAD in addition to competitive perks & benefits. Waabi Canada Inc.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 Canada locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
Perks/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.
- 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.
