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At 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.
We are currently seeking a Perception Algorithm Engineer for our ADAS/Autonomous Driving team. This position requires an experienced professional with strong programming skills and solid knowledge of state-of-the-art perception algorithms.
Your Role:
Work in a world-class ADAS/Autonomous Driving team
Design of the sensor fusion and perception software architecture for Lv.2/3/4 autonomous driving systems
Design, prototype, engineer, test, release and launch cutting-edge perception software stacks for Autonomous Driving
Implement high-quality automotive grade software code compliant to automotive quality and safety standards
Work closely with other teams to ensure a seamless and robust implementation
Test, release, and launch the sensor fusion and perception algorithm into the Lucid production programs
Support the production validation and verification of the sensor fusion and perception algorithms using prototype vehicles, pre-production vehicles
Enhance and improve the existing s/w stacks of the autonomous driving system
Propose a cutting edge s/w algorithm for the future autonomous driving systems
Expectations:
Experience in one or more of the following areas related to perception for ADAS / AD: optimization, sensor fusion, probabilistic filters (e.g. particle and/or Kalman filter), sensor processing, computer vision, point cloud processing, sensor registration, sensor calibration, machine learning, deep learning
Experience writing efficient, clean code in C++
Experience testing complex perception systems
A practical hands-on approach to complement the theoretical knowledge and creativity required to solve Autonomous Driving
Excellent communication skills
Proven track record of technical excellence
Advantageous:
Knowledge of ROS, DDS or other middleware systems
Knowledge of any other programming languages (e.g. Matlab / Simulink, Python, JavaScript, etc.)
Experience writing MISRA conform automotive code
Experience in working in agile development teams
Experience in component and system integration, testing and verification on system and vehicle level
Knowledge of applicable safety standards and regulations (ASPICE, ISO 26262), industry benchmark and customer requirements
Experience in automotive supplier interaction, specification development, release management, change management
Education:
BS minimum in the areas of Computer Engineering, Electrical Engineering, Automotive Engineering, Mechanical Engineering or other related fields
At least 3 years of work experience or a Ph.D. in a related field for a senior position
Advanced degrees preferred
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Notice regarding COVID-19 vaccination requirement as a condition of gainful employment within the United States
At Lucid, we prioritize the health and wellbeing of our employees, families, and friends above all else. In response to the novel Coronavirus, and the increased transmissibility with recent variants, all new Lucid employees, whose job will be based in the United States, must provide original documentation confirming status as having received the prescribed inoculation (doses) based on the manufacturer’s guidelines on their first day of employment.
Individuals seeking a medical and/or religious exemption from this requirement may be granted such an accommodation after submitting a formal request to and the subsequent review and approval thereof by our dedicated Covid-19 Response team.
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