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Employment type:
Full time
Experience required:
Intermediate
Salary
Salary not provided
About the company:
In this role, you will:
Lead a team responsible for the end-to-end verification and validation of safety-critical product software
Lead root-cause analysis for complex service issues and drive strategic improvements to our Verification and Validation (VnV) coverage
Develop and oversee the execution of validation strategies for complex and critical safety scenarios encountered during autonomous operation
Own the execution and success of large-scale validation campaigns to demonstrate the safety and performance of the autonomous driving system against rigorous, top-level safety requirements
Influence the direction of our testing efforts in cross-organizational technical and architectural reviews
Build, lead, and mentor a high-performing team of systems safety engineers, fostering their technical and professional growth
Qualifications
Advanced degree (M.S. or Ph.D.) in an engineering or science discipline
At least 10 years of experience in systems engineering, verification and validation, or safety-critical product development
At least 4 years of direct people management experience, leading and developing engineering teams
Proven experience leading the verification and validation of complex, software-intensive systems (e.g., robotics, aerospace, automotive)
Proven track record of designing and executing human factors studies for complex, safety-critical human-machine interfaces
Bonus Qualifications
Direct experience with the public road deployment and safety case development for Level 4/5 autonomous vehicles
Experience with simulation-based testing methodologies and large-scale safety data analysis
Demonstrated ability to thrive in a fast-paced, ambiguous environment and lead teams through complex technical challenges
Familiarity with VnV development plan against requirements derived from STPA, FMEA, etc
Expertise in the application of safety standards such as ISO 26262 and SOTIF (ISO 21448) in a product development environment
Deep proficiency in Python and SQL for test scripting, data analysis, and automation
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