Staff Systems Engineer - Safety Methodologies

Résumé du poste

You will lead the development and implementation of safety framework methods to validate autonomous trucking solutions using simulation and real-world data. This role involves creating safety artifacts, optimizing evaluation pipelines, and mentoring team members to ensure transparent and evidence-based readiness decisions.

Détails du poste

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. \n \n 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.

Ce que vous ferez

You will lead the development and implementation of safety framework methods to validate autonomous trucking solutions using simulation and real-world data. This role involves creating safety artifacts, optimizing evaluation pipelines, and mentoring team members to ensure transparent and evidence-based readiness decisions.

Exigences

Candidates must have at least 7 years of experience in automotive or robotics, with a strong foundation in statistics and data analysis. A bachelor's degree is required, while a master's or PhD in an engineering discipline is preferred.

Avantages

• Competitive compensation • Equity awards • Medical coverage • Vision coverage • Dental coverage • Unlimited vacation • Flexible hours • Work from home support • Catered meals • Team building activities

Compétences indiquées

• SQL · Souhaitée
• Analyse de données · Souhaitée
• Apprentissage automatique · Souhaitée
• Communication · Souhaitée
• Python · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Systems engineering
• Safety frameworks
• Autonomous vehicles
• Simulation
• Data analysis
• Python
• SQL
• Statistics
• Safety case development
• Machine learning
• Data mining
• Technical leadership
• Testing methodologies
• Software systems
• Communication
• Statistical Analysis
• Pipelines
• Autonomous Vehicles
• Generative Artificial Intelligence
• Real World Data
• Data Analysis
• Systems Engineering
• Code Coverage
• Data Mining
• Innovation
• Python (Programming Language)
• Machine Learning
• Caregiving
• Robotics
• Software Systems
• SQL (Programming Language)
• Team Building
• Visionary
• Scripting

Domaines d’emploi

• Engineering
• Technology
• Software
• Transportation
• Security & Safety
• Staff Systems Engineer
• Systems Engineer
• Software Developers
• Computer Systems Engineers/Architects
• Computer Occupations, All Other