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System Validation Engineer – Autonomous Driving – Autonomy Performance Evaluation
| Company | Applied Intuition |
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| Location | Mountain View, CA, USA |
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| Salary | $118000 – $220000 |
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| Type | Full-Time |
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| Degrees | Bachelor’s, Master’s |
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| Experience Level | Senior |
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Requirements
- 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
Responsibilities
- 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
Preferred Qualifications
- 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
