Staff Systems Engineer - Safety Methodologies
Core
Develop and implement critical safety framework methods to validate the safety of autonomous trucking solutions using simulation, real-world data, and generative AI.
Role type
Staff Systems Engineer (Safety Methodologies)
Builds
Safety evaluation pipelines, safety datasets, and readiness evidence for autonomous trucking.
Domain
Autonomous transportation / Physical AI / Robotics
Deliverable
production ML models | dashboards & analysis | client delivery
Required skills
Safety case development, simulation testing, real-world data analysis, Python, SQL, statistics, safety framework validation, artifact creation, team mentorship
Preferred skills
Driverless product launch experience, software systems implementation, machine learning, data mining, advanced statistical analysis
Technologies
Python, SQL, Generative AI, Simulation environments
Responsibilities
Develop sample-efficient safety datasets across simulation and closed-course testing; Establish feedback loops from on-road monitoring to refine test coverage; Validate and optimize safety evaluation pipelines; Create structured safety artifacts for readiness decisions; Mentor peers and foster technical collaboration.