Position Details
About this role
This role involves leading the development of automotive AI software, optimizing models for edge hardware, and integrating AI features like voice assistants and driver monitoring systems into vehicle platforms.
Key Responsibilities
- Architect automotive AI systems
- Deploy and optimize ML models
- Integrate AI with vehicle hardware
- Ensure safety and cybersecurity standards
- Lead cross-functional collaboration
Technical Overview
The position requires expertise in C++, Python, embedded automotive operating systems, AI/ML deployment, and hardware acceleration frameworks such as TensorRT and ONNX, with a focus on safety and cybersecurity.
Ideal Candidate
The ideal candidate is a senior AI/ML engineer with over 10 years of experience in embedded AI systems, specializing in automotive-grade hardware and software integration. They should have expertise in C++, Python, and deploying AI models on edge hardware, with knowledge of automotive safety standards.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Certifications
Preferred
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with automotive embedded systems, No experience with C++14/17/20 or Python, No knowledge of automotive safety standards (ISO 26262, ASIL)
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