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, San Francisco, and Dallas, 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
As a Software Engineer on our Behaviors team, you will create the next generation of simulation software for autonomous driving. You will work closely with our multidisciplinary team of world-renowned scientists and software engineers to build innovative, practical, and scalable solutions to challenging problems as part of our next-generation self-driving solution. Senior engineers are welcome to apply.
You will...
- Work with research scientists and engineers across Waabi to develop and maintain a portfolio of algorithms, models, and tools that power Waabi World’s scenario framework.
- Collaborate with users to create scenarios for training and testing the Waabi Driver at scale.
- Deliver new capabilities that extend the realism and diversity of scenarios we can simulate.
- Productionize research prototypes into reliable and scalable products in Waabi World.
- Design and implement tools to accelerate our ML development lifecycle, including our training and evaluation infrastructure.
- Champion engineering excellence, ensuring high-quality, well-structured and tested code.
- Participate in roadmap ideation, planning, and prioritization.
Qualifications:
- Bachelor's in computer science, engineering, machine learning, or a related technical discipline.
- Demonstrated software engineering excellence through previous internships, work experience, coding competitions, and/or research projects and papers.
- Strong quantitative background, familiarity with machine learning and deep learning.
- Open-minded and collaborative team player with the willingness to help others.
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
Bonus/nice to have:
- Master/PhD in machine learning, computer science, engineering, or a related field.
- Experience in self-driving or related fields.
- Experience with simulation for self-driving or related fields.
- Experience with training and deploying deep learning models.
- Familiarity with one or more of the following fields: traffic simulation, imitation learning, reinforcement learning, planning, and/or robotics.
- Experience in TensorFlow or PyTorch.
The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi (US) 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 US 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.
