Develops and executes validation strategies for L4 trucking autonomy modules including perception, planning, and prediction. Builds datasets, statistical/ML models, metrics, and pipelines to evaluate safety performance. Requires 3+ years in ADAS/autonomous driving and BS/MS in relevant field.
126k – 147k
On-site3+ YOEQA Engineering
About the role
Responsibilities
Develop and execute the system validation strategy for one or more autonomy modules (perception, planning, prediction, localization) for L4 trucking
Build comprehensive and diverse datasets from simulations and real world data
Work closely with systems engineering teams on validation test plans to ensure completeness and coverage across ODD and behavior
Develop statistical and machine learning models to analyze historical and simulation data for safety performance evaluation
Identify, develop and measure performance metrics and report on performance evaluation
Identify, build and deploy frameworks/pipelines to enable metric generation and evaluation
Support generation of the safety case and release recommendation reports
Requirements
3+ years of experience in ADAS or Autonomous driving
MS/BS degree in Robotics, Aerospace, Computer Science, or equivalent
Experience with ADAS, autonomous systems and robotics
Knowledge of existing standards and regulations relevant in the automotive industry, esp. ISO 26262, ISO 21448, UL4600
Knowledge of architectural design of ADAS/AV systems
Experience with scripting and simulation tools
Mastery of strong collaboration with other teams, customers, and companies to ensure high quality deliverables
Nice to Have
Prior work in either autonomous vehicles or ADAS or aerospace
Project management and leadership experience in the AV industry
Experience in the AV and robotics field
Fluency in C++ and/or Python
Compensation
Base salary range: $126,000 - $147,000 USD annually
Equity, comprehensive health/dental/vision/life/disability insurance, 401k with employer match, learning/wellness stipends, paid time off
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