Embedded Software Integration Engineer, DreamDrive

2 weeks ago

Newark, United States Lucid Motors Full time

**This role is NOT a "FULL STACK DEVELOPER" Role

This role is open to both Sr. and Jr. Engineers with the right skills and qualifications required. As the successful candidate, you will join a world-class Autonomous Driving/ADAS team. Candidates should be excellent engineers and organizers that have demonstrated the ability to learn quickly and work effectively in a fast-paced, rapidly changing environment. Our ideal candidate exhibits a can-do attitude and approaches his or her work with vigor and determination.

Role Responsibilities: Integrate, prototype, engineer, test, release and launch ADAS/Autonomous Driving features for Lucid

Dreamdrive. Invent and create new technologies and solutions. Bring revolutionary products to market. Work closely with other teams to ensure a seamless and robust implementation and Integration.

Required Qualifications: Bachelor’s degree in either of the following: computer science, computer engineering, electrical engineer, mechanical engineer 2+ years experience Excellent programming skills in C/C++ Experience with MATLAB/SIMULINK design as well as c/c++ autocode generation and deploying on embedded platforms Previous experience of porting software in RTOS embedded platforms such as QNX Excellent communication skills This role is NOT a "FULL STACK DEVELOPER" Role

Preferred Qualifications: Master’s degree in computer science, computer engineer, electrical engineer, mechanical engineer Previous experiences developing State Machines, integration with embedded platforms such as Nvidia Xavier and Aurix Experience with different communication protocols such as CAN, Ethernet, and ECU network communication devices such as Canope/Canoe. Familiarity with middleware such as Data Distribution Service (DDS), socket based communication protocol, Publish/Subscribe systems technologies like MQTT etc. Knowledge of functional safety and AUTOSAR basic software and applications Expertise in creating and managing complex embedded hardware-software systems Expertise in one or more of the following areas Motion Planning and Control for ADAS/Autonomous Driving: - trajectory planning, - route planning, - optimization-based planning, - motion control

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