Technical Lead Manager, Evaluation & Benchmarking

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

Rigorous Evaluation & Benchmarking is core to safe development of self-driving systems. The Evaluation & Benchmarking team is responsible for building the algorithms & tooling required to comprehensively evaluate the autonomy system’s 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 closed-loop 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!

- Lead the Evaluation & Benchmarking team responsible for developing the algorithms and tools necessary to thoroughly assess the autonomy system's performance throughout development.

- Work closely with internal users to understand their requirements and workflows and build a long-term roadmap for the team aligned with the company's 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 one-on-one meetings to offer guidance and constructive feedback to direct reports.

- Advocate and set patterns for software development.

- 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 cross-functional partners/stakeholders Experience with system design/architecture and algorithms.

- Open-minded and collaborative team player with willingness to help others.

- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.

- 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: $159,000 - $268,000 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.

- 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.