Strong background in simulation-to-road correlation
This role is pivotal in establishing pragmatic, data-backed methodologies for measuring trust and confidence in autonomous vehicle behavior validation results across both simulation and real-world road testing
Job Summary
This role is pivotal in establishing pragmatic, data-backed methodologies for measuring trust and confidence in autonomous vehicle behavior validation results across both simulation and real-world road testing.
The team collaborates with systems engineers, safety stakeholders, and AI developers to define confidence metrics and ensure that AV behavior meets rigorous safety and performance standards.
General Motors offers a variety of health and wellbeing benefit programs including medical, dental, vision, retirement savings plans, and employee assistance programs.
Matching Summary
This role is pivotal in establishing pragmatic, data-backed methodologies for measuring trust and confidence in autonomous vehicle behavior validation results across both simulation and real-world road testing.
Salary
Base: $148,000 - $226,200; Bonus: Incentive pay program based on company, job level, and individual performance; Benefits: Medical, dental, vision, HSA, FSA, retirement plan, life insurance, paid vacation, tuition assistance, GM vehicle discounts
Skills & Requirements
Must-have
Advanced degree in Data Science or related field
5+ years experience in data science and analytics
Strong background in simulation-to-road correlation
Proficiency in Python, SQL, and data visualization tools
Nice-to-have
Experience in autonomous vehicle development or ADAS systems
Familiarity with large-scale simulation environments
Proven ability to design confidence metrics for safety-critical systems
Strong track record of cross-functional collaboration
Key Requirements
Advanced degree in Data Science, Computer Science, Engineering, or related fields
5+ years of experience in data science and analytics