Sr Software Engineer, Simulation, ADAS/AD
Full Time
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Newark, CA
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Lucid Motors
Leading the future in luxury electric and mobility 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.
Role:
Work on developing state-of-the-art simulation pipeline for testing ADAS/AD features allowing for rapid definition and scalable management of the vast number of required scenarios
Interface Simulation System with AD Software Stack
Integrate the core Simulation Engine with various closed-loop test environments like SIL and HIL
Develop and use tools to create scenarios
Write Software to scale the capabilities of the Simulation System
Implement KPIs for automated validation
Contribute to the Simulation System's infrastructure and scale the capability
Qualifications (must have):
Demonstrated excellence in programming/scripting languages such as C/C++ and Python
Familiarity with game engines such as Unreal and Unity, or automotive simulators (e.g., VTD, CarMaker)
Excellent communication skills and willingness to learn
Preferred:
Working knowledge of middleware solutions like ROS
Ability to write and deploy shell scripts
Knowledge with descriptive interfaces like XML, YAML
Background in sensor validation is a plus
Understanding of low-level threading primitives and optimization for real-time applications
Up to date with the latest technical knowhow of using machine learning such as NeRF's , LLMs for developing in house simulation stack.
Education:
BS in Computer Science/Engineering, Data Engineering or other related fields
Advanced degrees preferred
3+ years of work experience