Senior Staff Systems Engineer - Safety Methodologies

Summary

Join Waabi, a leading AI company revolutionizing self-driving technology, and become a pivotal member of our safety engineering team. We are seeking a passionate and experienced safety or systems engineer to lead the development and implementation of critical safety framework methods for our autonomous trucking solution. You will define verification coverage using our simulator, collaborate with external partners to analyze real-world data, and work with engineering teams to identify and address safety gaps. This role demands expertise in safety methods and standards, strong data analysis skills, and excellent communication abilities. You will play a crucial role in ensuring the safe operation of our autonomous vehicles, contributing to a groundbreaking field. Waabi offers competitive compensation, equity awards, and a comprehensive benefits package.

Requirements

• Undergrad required; Masters or PhD within an engineering discipline preferred
• 5+ years of automotive, robotics, aerospace or related industry experience
• Experience contributing to the development of a safety case for autonomous vehicles
• Experience with using simulation and real world testing to make readiness decisions
• Knowledge of relevant safety methods and standards such as STPA, SOTIF (ISO 21448) and/or UL 4600
• Strong fundamentals in mathematics, engineering and physics
• Excellent data analysis skills with modern tools such as Python or Matlab
• Ability to communicate complex concepts or data in a simple-yet-accurate manner
• Collaborative team player who works effectively across functional boundaries
• Passionate about self-driving technologies, solving hard problems, and creating innovative solutions

Responsibilities

• Lead and own the creation, documentation, alignment and execution of conflict avoidance and rules of the road within Waabi's broader safety framework to support driverless readiness decisions
• Define comprehensive verification coverage using Waabi's simulator to verify driving behaviors, and develop quantitative metrics to evaluate system readiness against established safety requirements
• Collaborate with external partners to collect and analyze real-world truck driving data, enabling the establishment of human performance benchmarks, informing product and societal safety expectations, and supporting robust comparative safety assessments
• Collaborate with engineering teams to identify safety gaps, recommend improvements, and ensure traceability between requirements, validation artifacts, and safety case claims
• Implement tools and methodologies to streamline safety validation processes, bringing creativity and a forward-thinking mindset to continuously evolve the assigned safety framework methods
• Ensure clear, structured documentation of safety artifacts and readiness decisions to ensure transparency and traceability

Preferred Qualifications

• Experience in launching a driverless product
• Experience implementing software systems components
• Experience in robotics or machine learning
• Advanced skills in data mining, mathematics, and statistical analysis

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 & virtually