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Form of workDescription
Define customer requirements for passenger vehicle SDV 2.0-based semi-autonomous ADAS mapping features in Super Cruise (SC) and Ultra Cruise (UC). Develop, test, validate, integrate, and improve Battery Electric
Vehicle and Autonomous Vehicle SDV 2.0-based architecture ADAS Compute Platform ACP4 semi-autonomous Super Cruise and Ultra Cruise embedded High Definition Lane Mapping Module (HDLM), including geolocation, vehicle location; GPS latitude, longitude, elevation, and altitude; heading, position, confidence, and vehicle speed, in C++, Python, QNX programming languages; vehicle and dynamic SQL databases; using Git, Jenkins, Jira, Artifactory, BitBucket, Confluence, and Vector CANalyzer tools. Use QNX target hardware to test HDLM on ACPx. Design and develop Ultra Cruise embedded HDLM to publish a horizon (roads and lanes) of map information for configurable distance around the host vehicle.
Additional Description
Bachelor's degree in Electrical Engineering, Computer Engineering, Electronics and Communication Engineering, or related field, and one (1) year experience as an Engineer, Developer, or related role. Must also have experience with: developing, testing, and validating embedded Electronic Control Unit (ECU) software applications in C++ programming language, using Jenkins, Jira, and Vector CANalyzer tools.
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