Major Accountabilities:

Design and develop algorithms for automotive applications, including advanced driver assistance systems (ADAS) and autonomous driving features.

Utilize mathematical modeling, statistical analysis, and machine learning techniques to create robust and efficient algorithms that meet performance and safety requirements.

Collaborate with cross-functional teams to ensure alignment with automotive development practices and standards throughout the algorithm development lifecycle.

Demonstrate strong mathematical, analytical, and problem-solving skills to tackle complex challenges and optimize algorithm performance.

Analyze system requirements, data, and performance metrics to iteratively refine and improve algorithm designs.

Assess and enhance the maturity of algorithm software through rigorous testing, validation, and verification processes.

Define and implement strategies for improving algorithm software maturity, reliability, and robustness to meet automotive safety and quality standards.

Ensure compliance with industry-specific communication protocols such as CAN, LIN, FlexRay, and Ethernet for reliable data exchange and interoperability.

Develop and validate algorithm models using Simulink to ensure accuracy and performance before implementation in production systems.

Manage version control and continuous integration pipelines using Git and Jenkins to facilitate collaborative development and automated testing of algorithm software.

Implement CI/CD best practices to ensure the stability, reliability, and repeatability of algorithm deployments.

Design and implement robust error handling and fault tolerance mechanisms to ensure algorithmic reliability and safety in automotive systems.

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