Senior Systems Engineer - Safety Methodologies
San Francisco, CAFull-TimeSeniorSoftware Engineering
Overview
- 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…
- - Scale and manage safety framework methods by defining requirements for automated assessment workflows and partnering with the autonomy and algorithms teams to implement and debug the evaluation infrastructure.
- - Develop and monitor quantitative metrics to evaluate system performance against established safety targets.
- - Optimize test coverage within Waabi’s high-fidelity simulator to validate driving behaviors across safety-critical scenarios.
- - Define and iterate on human performance benchmarks to support robust comparative safety assessments.
- - Identify safety gaps and ensure traceability between requirements, validation artifacts, and safety case claims.
- - Maintain structured documentation of safety artifacts and readiness decisions to ensure rigorous transparency and traceability.
- - Mentor peers to foster technical excellence and drive constructive cross-functional collaboration.
Qualifications
- - Undergrad required; Masters or PhD within an engineering discipline preferred.
- - 5+ years of automotive, robotics 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), ISO/SAE PAS 22736, and UL 4600.
- - Strong fundamentals in mathematics, engineering and physics.
- - Excellent scripting and data analysis skills with tools such as Python and SQL.
- - 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.
Bonus/nice to have
- - Experience in launching a driverless product.
- - Experience in data science and machine learning
- - Experience implementing software systems components.
- - Advanced skills in data mining, mathematics, and statistical analysis.
