Systems Engineer - Behavior Verification
New
J
JobgetherAutonomous vehicles
Based in CanadaFull-Time
SalaryCAD $160,000–$204,000 for the Canadian location
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Job Details
- Required Skills
- Python
Requirements
- Bachelor's or master's degree in a relevant engineering or technical discipline, such as Software Engineering, Electrical Engineering, Computer Science, Robotics, Advanced Controls, or Aerospace Engineering.
- Professional experience verifying safety-critical systems, ideally in autonomous vehicles, advanced driver-assistance systems, robotics, or complex engineering environments.
- Experience designing test cases from system requirements and evaluating test coverage, including gaps and limitations.
- Applied statistical knowledge, including sample size selection, confidence assessment, and interpretation of test results and limitations.
- Proficiency in Python and ability to navigate, understand, and contribute to a large, complex codebase.
- Familiarity with autonomous vehicle requirements, driving behaviors, and systems engineering or design methodologies.
- Experience with trucking, heavy vehicles, commercial transportation, or large-scale autonomous vehicle applications is preferred.
- Knowledge of machine learning systems, particularly model evaluation and false-positive/false-negative trade-offs, is preferred.
- Familiarity with NHTSA guidance, ISO 26262, and SOTIF is preferred.
- Experience extracting scenario coverage and exposure metrics from large-scale driving log datasets is preferred.
Responsibilities
- Develop, structure, and document scenario-based test sets for autonomous driving behavior.
- Define and execute scenario validity checks, review test-set quality, and approve or reject sets for software release evaluation.
- Establish quality feedback processes for scenarios, taggers, graders, and behavior-verification taxonomies.
- Convert behavioral expectations into testable acceptance criteria, performance targets, and verification standards.
- Analyze behavioral failures, find additional instances, quantify exposure, and feed missed issues back into the verification pipeline.
- Determine whether observed issues are system deficiencies or simulation artifacts, and communicate simulation fidelity gaps to engineering teams.
- Coordinate verification activities with motion planning, simulation, evaluation, operations, safety methodology, and platform teams.
- Establish testing frequency and verification requirements for releases and development milestones.
- Assess autonomous driving performance with evidence to support software readiness and release decisions.
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