[Hiring] Systems Engineer - Behavior Verification @Waabi

Role Description

At the heart of our mission is an unwavering commitment to safety. Behavior Verification answers one question: is the driver's on-road behavior good enough to release, and how can we prove it even further? We are seeking a rigorous and decisive systems engineer to build the evidence behind that answer. You will:

• Design and document the scenario and test sets that establish on-road behavior performance, from minimum to comprehensive.
• Own what enters the release pipeline: define and run the scenario validity checks, and approve or refuse test sets before they are used to judge a release.
• Maintain continuous quality feedback of the artifacts test sets depend on — scenarios, taggers, graders and the taxonomy behind them.
• Turn behavior requirements into testable criteria, working with Behavior Requirements on targets and acceptance criteria that someone will sign.
• Investigate behavior deficiencies: find further instances, establish what exposure we have to them, and return them to the pipeline as test escapes.
• Distinguish genuine behavior failures from simulation artifacts, and raise simulation fidelity gaps with the corresponding teams.
• Work across the organization — motion planning, simulation, evaluation, operations, safety methodology and platform — and hold the interfaces between them.
• Align verification phases and cadence with the organization: what runs on a daily release, and what a significant step in exposure requires.

Qualifications

• Bachelor’s degree or Master’s degree in a relevant engineering or related field (e.g., Software Engineering, Electrical Engineering, Computer Science, Robotics, Advanced Controls, Aerospace, etc.).
• Experience verifying safety-critical systems, ideally in autonomous vehicles.
• Demonstrated experience designing test cases from requirements, and assessing what a test set covers and what it misses.
• Applied statistics: sample size, confidence, and what a result does and does not support.
• Proficiency in Python and the ability to navigate a large codebase.
• Familiarity with autonomous vehicle requirements, behaviors and design methodologies.
• Strong ability to structure, document and prioritize a large number of test sets and test strategies.
• Ability to work cross-functionally in a diplomatic way, across teams that do not always agree.
• A drive for commitment and accountability, for yourself and for others.

Requirements

• Bonus/nice to have:
• Trucking or heavy-vehicle exposure.
• Machine learning experience, particularly model evaluation and false-positive / false-negative trade-offs.
• Exposure to regulatory frameworks: NHTSA, ISO 26262, SOTIF.
• Familiarity with the tooling required to extract coverage and exposure from large driving-log sets.
• Comfortable working in a newly formed team, where the process has to be built rather than followed.

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.
• As we grow, this list continues to evolve!