Leading the future in luxury electric and mobilityAt Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility. We plan to lead in this new era of luxury electric by returning to the fundamentals of great design – where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience. Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we’re providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you.

Your Role:

Be responsible for test validation of hardware/software components related to ADAS/AD parking & viewing functions such as Parking Assist, Automated Parking, Remote Controlled Parking,

Contribute to system architecture and the related validation tests on component.

Be responsible for test plans, data analysis and feature validation tests while ensuring traceability to functional and performance requirements.

Facilitate and align related cross-functional technical teams such as functional safety, infotainment, perception, path planning & control, and homologation on the system level.
Work closely with Tier 1 suppliers.
Build closed loop test benches and create bench level test cases using CAPL to increase efficiency, test repeatability contributing directly to reduce cost and improve final product quality.

Maintain test cases traceability against the system level and feature level requirements throughout the product development life cycle.

Work closely with Component Owner (USS, Parking Controller) for the ADAS Functions, contribute the component requirement development.

Be responsible for fault injection testing and develop, execute the negative test cases to ensure the system and feature integrity.

Triage and root cause the internal and customer fleet level parking features related issues.

Expectations:

A proven track record of working with hardware/software systems related to ADAS or AD automotive features for mass production.

Strong data processing skills using programming languages like Python, Matlab/Simulink.

Proficiency with CAPL scripting to perform various automated tasks like test case execution, monitoring the vehicle level data for KPI testing.

Experience debugging, testing and bringing up complex hardware/software systems

Experience in efficiently developing and executing validation test plans to cover various configurations applicable to the system.

Experience with communication protocols like automotive ethernet, CAN.

Capability and creativity to successfully complete projects with unconventional ideas in highly constrained, innovative startup environments

Several years working experience at automotive Tier 1/2 suppliers or OEMs, with an understanding of automotive processes and workflows

Excellent communication skills (verbal and written)

Advantageous:

Previous experience with ADAS Parking Assist and/or Viewing Systems at a Tier 1 or OEM

Experience as Feature Owner or Systems Engineer for Parking features.

Experience with Vector tools: CANoe, CANape, VFlash and CAPL.

Experience with test case automation.

Experience with Image Signal Processing pipeline from Camara, and computer vision.

Experience with HIL, SIL or system (vehicle) simulation.

Broad experience with various ADAS/AD systems, including mechanical, electrical and software components.

Proficiency with agile development tools and environments (Jira, Jama, …)

Proficiency with Lab equipment tools.

Familiarity with automotive regulations and functional safety standards (ASPICE, ISO 26262)

Requirements:

BS minimum in System Engineering, Mechanical Engineering, Electrical Engineering, Computer Science, or similar and 5 years of engineering experience in the automotive industry

OR

MS minimum in System Engineering, Mechanical Engineering, Electrical Engineering, Computer Science, or similar and 3 years of engineering experience in the automotive industry.

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