Systems Engineer Behavior Verification
Job Summary
- 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.
- Bachelors degree or Masters 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 ideallyin 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.
- 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.
- 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!
Required Experience:
IC
About Company
The US yearly salary range for this role is: $149,000 - $190,000 USD and the Canada salary range for this role is: $160,000 - $204,000 CAD in addition to competitive perks & benefits. Waabi US Inc. and Waabi Canada Inc.'s yearly salary ranges are determined based on several factors in ... View more