The Role
Develop and implement safety framework methodologies for autonomous trucking readiness decisions. Build high-signal safety datasets across simulation and closed-course testing, establish feedback loops from road monitoring and safety events, validate safety evaluation pipelines, and create traceable safety artifacts. The role also requires cross-functional collaboration, technical mentorship, data analysis, statistical evaluation, and evidence-based safety case development for autonomous vehicles.
Summary Generated by Built In
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
At the heart of our mission is an unwavering commitment to safety. We are seeking a passionate and experienced safety or systems engineer to spearhead the development and implementation of critical safety framework methods that underpin our driverless autonomy readiness decisions. This is a unique opportunity to shape how Waabi quantitatively ensures and validates the safety of our autonomous trucking solution, working with our highly realistic simulator, real-world data, and cutting-edge generative AI techniques. You will play a pivotal role in creating the evidence for safe operation and leading efforts in a rapidly evolving and groundbreaking field.
You will...
- Inform driverless release testing by developing sample-efficient, high-signal safety datasets across simulation and closed-course track testing.
- Establish and manage a robust feedback loop from on-road monitoring and safety relevant events to continuously expand and refine test coverage.
- Validate and optimize safety evaluation pipelines by conducting comparative analyses on core safety frameworks and benchmark criteria to continuously evolve our safety frameworks.
- Own the creation of clear and structured safety artifacts, ensuring all readiness decisions are transparent and fully traceable to validation evidence.
- Mentor peers by fostering a culture of technical excellence and driving clear, constructive collaboration between teams.
Qualifications:
- Undergrad required; Masters or PhD within an engineering discipline preferred.
- 7+ years of automotive, robotics or closely related industry experience.
- Experience with using simulation and real-world testing to make readiness decisions.
- Excellent scripting and data analysis skills (Python, SQL), and a solid foundation in statistics.
- Experience with building a strong safety case for autonomous vehicles.
- Ability to communicate complex concepts or data in a simple-yet-accurate manner.
- Collaborative team player who works effectively across functional boundaries, driving evidence-backed decisions.
- Passionate about autonomy, solving hard problems, and creating innovative solutions.
Bonus:
- Experience in launching a driverless product.
- Experience implementing software systems components.
- Experience building software systems from scratch.
- Experience in machine learning.
- Proficiency with data mining and advanced statistical analysis.
The US yearly salary range for this role is: $200,000 - $256,000 USD in addition to competitive perks & benefits. Waabi US Inc. and 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 US and Canada locations. Note: The Company provides additional compensation for employees in this role, including discretionary equity incentive awards and discretionary annual performance bonus.
Perks/Benefits:
Waabi provides a competitive benefits package that includes:
- Competitive compensation and equity awards.
- Health and Wellness benefits that include Medical, Vision and Dental coverage.
- 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.
- 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.
Skills Required
- Undergraduate degree in an engineering discipline
- 7+ years of automotive, robotics, or closely related industry experience
- Experience using simulation and real-world testing to make readiness decisions
- Excellent scripting and data analysis skills using Python and SQL
- Solid foundation in statistics
- Experience building a safety case for autonomous vehicles
- Ability to communicate complex concepts or data clearly and accurately
- Ability to collaborate effectively across functional boundaries and drive evidence-backed decisions
- Passion for autonomy, difficult technical problems, and innovative solutions
- Master's or PhD in an engineering discipline
- Experience launching a driverless product
- Experience implementing software system components
- Experience building software systems from scratch
- Experience in machine learning
- Proficiency with data mining and advanced statistical analysis
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The Company
What We Do
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, including Khosla Ventures, Uber, 8VC, Radical Ventures, OMERS Ventures and BDC Capital’s Women in Technology Venture Fund. To learn more visit: waabi.ai Press: [email protected] Business: [email protected]
