System Validation Engineer, Autonomous Driving - Autonomy Performance Evaluation

About the role

We are looking for a system validation engineer with a background in autonomy, autonomous driving and/or ADAS. This engineer will work on performance evaluation of autonomy at the system and module level. This engineer will play a critical role in shaping the technical direction of this project towards measuring autonomy features and autonomous driving.

At Applied Intuition, you will:

• Identify, develop, measure and report on the critical metrics that measure performance and enable evaluation of the autonomy stack and autonomy modules.
• Dive deep into the autonomy modules to generate data driven insights to support autonomy development.
• Work closely with the autonomy software team for realization and utilization of these metrics and to drive improvements.
• Contribute efforts to ensure comprehensive metrics identification and measurement including key performance indicators and safety performance indicators across the autonomy system and modules supporting the safety case.
• Work closely with other system validation engineers to identify, implement and measure metrics that capture performance and enable evaluation of autonomy at the system and feature level for L4 trucking.
• Lead implementation, realization and reporting of identified metrics including frameworks, pipelines and dashboards.
• Support autonomy system validation engineers to build comprehensive test plans and specifications across testing modalities including simulation and real world testing.
• Work closely with systems engineering teams to ensure measurement and reporting across the ODD.
• Develop and implement strategies for analyzing real world data to measure performance and identify challenging and relevant events.
• Support generation of the safety case and release recommendation reports.

We're looking for someone who has:

• 5+ 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.