In this role, you will:
- Lead the sensor degradation data analysis within the Platform Safety Assurance Team
- Develop test infrastructure and tests to verify and validate driving software performance in the presence of sensor faults.
- Lead efforts to define relevant metrics, and develop validation methodologies and long-term strategy to measure SW performance when sensor data is degraded.
- Understand and identify critical scenarios and edge cases to develop perception and CAS tests to measure performance in those scenarios.
- Collaborate with sensor engineers and software engineers from perception and other relevant teams to ensure methodology implementation meets requirements and provides required data.
- Prepare, analyze, and present test results to systems engineering and other stakeholders for review and for regular milestone clearance.
Qualifications:
- B.S. or higher degree in Computer Science, Machine Learning, Mechatronics, Embedded Systems, or related disciplines,
- 4 years of work experience with perception verification and validation
- Systems engineering experience certifying safety-critical software across the full development cycle
- Strong reasoning skills for machine-learning results.
- Strong mathematical, written, and verbal communication skills
- Strong Python skills
Bonus Qualifications:
- ADAS sensor or perception-system development experience
- C/C++ development capability
- Real-time embedded system development
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