V&v Test Engineer

Applied Intuition Applied Intuition · Robotics · Sunnyvale, CA · SDS Systems Engineering

This role focuses on the verification and validation (V&V) of autonomous systems, particularly for L4 trucking. The engineer will develop and execute system validation strategies, build datasets, analyze data using statistical and machine learning models for safety performance evaluation, and identify/deploy frameworks for metric generation. The role also supports the generation of safety cases and release recommendations, with a strong emphasis on automotive industry standards and regulations.

What you'd actually do

  1. Develop and execute the system validation strategy for one or more autonomy modules (perception, planning, prediction, localization) for L4 trucking
  2. Build comprehensive and diverse datasets from simulations and real world data
  3. Work closely with systems engineering teams on validation test plans to ensure completeness and coverage across ODD and behavior
  4. Develop statistical and machine learning models to analyze historical and simulation data for safety performance evaluation.
  5. Identify, develop and measure performance metrics and report on performance evaluation

Skills

Required

  • 3+ years of experience in ADAS or Autonomous driving
  • MS/BS degree in Robotics, Aerospace, Computer Science, or equivalent required
  • 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

What the JD emphasized

  • ISO 26262
  • ISO 21448
  • UL4600

Other signals

  • performance evaluation of autonomy
  • measuring autonomy features
  • safety performance evaluation
  • generation of the safety case