Senior Simulation & Software Integration Engineer – ADAS/AD

Lucid Motors•Newark, CA

About The Position

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. We are seeking a Senior Simulation & Software Integration Engineer to take full ownership of our next-generation autonomous driving simulation platform. This is not a "pure software" role; we need a hybrid engineer who understands the physics and complexities of automotive systems as deeply as the code that simulates them. You will be the bridge between abstract autonomy algorithms and real-world vehicle behavior. You won’t just follow a spec—you will define the requirements, think creatively to solve bottleneck issues in SIL/HIL, and implement the "next-gen" workflows that allow Lucid to validate ADAS features at a global scale. If you are a problem-solver who enjoys getting your hands dirty in both C++ and vehicle dynamics, this is your role.

Requirements

Strong software engineering fundamentals (Modern C++, Python)
Solid grasp of how a vehicle actually moves and thinks.
Proven track record of taking a simulation project from "concept" to "production validation."
Professional experience with automotive simulators (CARLA, IPG CarMaker, or VTD) and scenario standards (OpenSCENARIO, OpenDRIVE).
Comfortable with Docker and CI/CD pipelines.
Ability to containerize a simulator to run 10,000 tests in the cloud.
Exceptional ability to triage issues where the root cause could be anything from a race condition in the code to a misconfigured vehicle plant model.
Bachelor’s or Master’s degree in Mechanical Engineering, Robotics, Computer Science, or a related field.
5+ years of professional experience in ADAS/AD simulation or software integration.

Nice To Haves

Experience with dSPACE, NI, or Vector hardware, including ARXMLs and rest-bus simulation.
Deep understanding of vehicle dynamics (multi-body) or the physics of Lidar/Radar/Camera sensor modeling.
Experience applying Generative AI or Neural Simulation to create realistic driving environments.
Deep knowledge of ROS2, DDS, or custom high-performance IPCs.

Responsibilities

Drive the design and implementation of simulation pipelines.
Turn high-level ADAS requirements into functional, scalable simulation scenarios.
Build and maintain the "glue" between our autonomy software stack and simulation engines.
Ensure that the software behaves identically whether it’s in a cloud-native SIL environment or a bench-top HIL rack.
Identify gaps in current simulation capabilities (e.g., sensor fidelity, edge-case generation) and implement "out-of-the-box" solutions using modern tools like CARLA, Unreal Engine, or generative AI.
Define and implement the KPIs and automated metrics that determine if a new software build is "safe" for the road.
Act as a senior lead within the simulation team, triaging complex integration bugs that span across software, hardware, and infrastructure layers.