Remote Evaluation Lead; Aurora

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 powers 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.

We are looking for a hands‑on leader to build a new centralized Evaluation team. This team will be responsible for providing comprehensive and holistic analysis on all aspects of performance of the autonomy system. In this role, you will collaborate closely with the systems & safety team, define the requirements & evaluation criteria, and work with the autonomy teams to understand their evaluation needs.

You will also work with 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 protected development of the next‑generation of autonomous vehicles.

• Lead and build a cross‑functional team of software engineers, data analysts, and data scientists supporting automated workflows that provide high signal on autonomy performance.
• Design pipelines, tools, and dashboards to characterize autonomy performance for technical teams and executive leadership, collaborating closely with platform teams on implementation and with autonomy, systems, safety, and product teams on requirements.
• Work closely with simulation and software teams to build solutions that leverage our data, metrics, and simulation platforms effectively.
• Lead technical projects; contribute as an IC while also managing the team.
• 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.

• Minimum of 6+ years of autonomous vehicle industry experience including at least 2+ years managing high‑performing teams.
• Experience evaluating AI or machine learning models, ideally in self‑driving or related fields.
• MS/PhD or Bachelor’s degree in Computer Science, Data Science, Robotics, and/or a similar technical field.
• Strong statistical background.
• 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.

• Previous experience leading Autonomy Evaluation teams.
• Experience with large‑scale databases and analytics.

The US yearly salary range for this role is: $159,000–$260,000 USD in addition to competitive perks and 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 and virtually.
• As we grow, this list continues to evolve.

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.