Staff Systems Engineer - Safety Methodologies

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.