Senior Simulation & Software Integration Engineer – ADAS/AD

Lucid Motors•Newark, CA

14h

About The Position

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

The Hybrid Mindset: Strong software engineering fundamentals (Modern C++, Python) combined with a solid grasp of how a vehicle actually moves and thinks.
Ownership Pedigree: Proven track record of taking a simulation project from "concept" to "production validation."
Simulation Power User: Professional experience with automotive simulators (CARLA, IPG CarMaker, or VTD) and scenario standards (OpenSCENARIO, OpenDRIVE).
Infrastructure Fluency: Comfortable with Docker and CI/CD pipelines. You should know how to containerize a simulator to run 10,000 tests in the cloud.
Systems Debugger: 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. We value the "Automotive + SW" crossover highly.
5+ years of professional experience in ADAS/AD simulation or software integration.

Nice To Haves

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

Responsibilities

End-to-End Ownership: Drive the design and implementation of simulation pipelines. You will take high-level ADAS requirements and turn them into functional, scalable simulation scenarios.
Hybrid Integration: Build and maintain the "glue" between our autonomy software stack and simulation engines. You will ensure that the software behaves identically whether it’s in a cloud-native SIL environment or a bench-top HIL rack.
Creative Problem Solving: 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.
Validation Frameworks: Define and implement the KPIs and automated metrics that determine if a new software build is "safe" for the road.
Technical Mentorship: Act as a senior lead within the simulation team, triaging complex integration bugs that span across software, hardware, and infrastructure layers.