Position Details
About this role
This role involves developing AI/ML methods for autonomous vehicle safety assurance, working with vehicle and simulation data, and supporting AV safety decision-making.
Key Responsibilities
- Develop safety analytics infrastructure
- Apply AI/ML for safety validation
- Collaborate with stakeholders
- Maintain data flow from vehicle systems
- Develop safety metrics
Technical Overview
The technical environment includes AI/ML algorithms, data analytics infrastructure, cloud processing, vehicle systems data, and simulation data analysis.
Ideal Candidate
The ideal candidate is a mid-level AI/ML engineer with 3+ years of experience in autonomous vehicle safety, data analytics, and cloud processing. They possess strong Python skills, expertise in explainable AI, and experience working with vehicle systems and simulation data.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience in AI/ML safety validation, No experience with vehicle systems data, No cloud processing experience, No Python programming skills
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