Waabi founded by AI pioneer and visionary Raquel Urtasun is an AI company building the next generation of selfdriving 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 selfdriving closer to commercialization than ever before. Waabi is backed by bestinclass 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:
Rigorous Evaluation & Benchmarking is core to safe development of selfdriving systems. The Evaluation & Benchmarking team is responsible for building the algorithms & tooling required to comprehensively evaluate the autonomy systems performance across all development stages. In this role you will work closely with the systems & safety teams responsible for defining the requirements & evaluation criteria and simulation teams to leverage Waabi World our highly realistic closedloop simulation engine built with the latest in generative AI technologies to deliver the evaluation capabilities needed to support the safe development of the next generation of autonomous vehicles!
You will...
Lead the Evaluation & Benchmarking team responsible for developing the algorithms and tools necessary to thoroughly assess the autonomy systems performance throughout development.
Work closely with internal users to understand their requirements and workflows and build a longterm roadmap for the team aligned with the companys milestones.
Lead technical projects; contributing as an IC while also managing a team of engineers.
Participate and share ideas in technical and architecture discussions collaborating with researchers and engineers.
Conduct regular oneonone meetings to offer guidance and constructive feedback to direct reports.
Advocate and set patterns for software development.
Qualifications:
Minimum of 6 years of industry experience including at least 2 years managing high performing engineering teams.
MS/PhD or Bachelors degree in Computer Science Robotics and/or similar technical field(s) of study.
Experience working with internal crossfunctional partners/stakeholdersExperience with system design/architecture and algorithms.
Openminded and collaborative team player with willingness to help others.
Passionate about selfdriving technologies solving hard problems and creating innovative solutions.
Bonus/nice to have:
Experience in autonomous systems robotics and/or machine learning.
Experience with large scale databases and analytics.
Experience with data pipelines & workflow automation.
Experience with evaluation & benchmarking of complex systems and/or large ML models.
The US yearly salary range for this role is: $159000 $268000 USD in addition to competitive perks & benefits. Waabi (US) Inc.s yearly salary ranges are determined based on several factors in accordance with the Companys 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 fulltime 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 onsite offsite & virtually.
As we grow this list continues to evolve!
Waabi is a technology startup 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.