Staff Systems Engineer - Safety Methodologies

Waabi; Town of Texas (WI); Hybrid; USD 200,000 - 256,000; Full time

Benefits offered by this job

Equity awards

Health coverage

Unlimited vacation

Flexible hours

Work-from-home support

In-office meals

Job summary

Waabi is seeking a seasoned safety/systems engineer to design and implement a rigorous safety framework for autonomous trucking technology. You will work with a realistic simulator, real-world data, and cutting-edge generative AI techniques to build evidence for safe operation and drive validation across teams.

You will lead testing and analysis, develop robust safety artifacts, and mentor peers while collaborating across engineering, data science and product teams to advance Waabi's driverless

Qualifications

• Undergrad degree required; advanced degree preferred.
• 7+ years in automotive, robotics or related field.
• Experience with using simulation and real-world testing to make readiness decisions.
• Strong Python and SQL scripting with solid foundation in statistics.
• Ability to communicate complex concepts clearly and simply.

Responsibilities

• Develop sample-efficient, high-signal safety datasets across simulation and track testing.
• Manage a robust feedback loop from on-road events to expand test coverage.
• Validate and optimize safety evaluation pipelines by comparing core safety frameworks and benchmarks.
• Own the creation of clear safety artifacts, ensuring readiness decisions are traceable to validation evidence.
• Mentor peers and foster cross-team collaboration and technical excellence.

Skills

Python

SQL

Statistics

Data analysis

Communication

Teamwork

Education

Undergrad degree

Job description

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.

US yearly salary range for this role is: $200,000 - $256,000USD 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:

• 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.