Simulation and SW Integration Engineer

Staff Simulation and Software Integration Engineer

Newark, CA

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 looking for a highly skilled Staff Simulation & Software Integration Engineer to drive the development and scaling of our next-generation autonomous driving simulation platform. In this role, you will design and integrate complex simulation pipelines, interface with core ADAS/AD software stacks, and ensure robust system-level validation across SIL, HIL, and cloud environment. You will serve as a key technical leader—bridging simulation, autonomy software, and infrastructure while enabling rapid scenario creation, scalable execution, and automated validation of advanced driver-assistance and autonomous driving features.

• Simulation Platform Development
  • Design, develop, and scale a state‑of‑the‑art simulation system for ADAS/AD validation, supporting massive scenario generation, execution, and automated evaluation.
  • Develop validation workflows for different parts of the simulation system.
  • Implement scenario authoring tools, simulation APIs, and pipelines that integrate seamlessly with autonomy software.
  • Develop distributed, cloud‑native simulation workflows using Docker, Kubernetes, and CI/CD pipelines.
  • Manage simulation data pipelines for large‑scale scenario generation, execution, and results aggregation.
• Interface and integrate the simulation system with AD software stack.
• Build robust adapters and middleware connections across diverse environments.
• Triage and debug integration issues spanning simulation, autonomy stack, and infrastructure layers.
• Ensure simulation stability and robustness on all the platforms.
• Define and implement KPIs, metrics, and validation frameworks for automated evaluation of ADAS/AD features.
• Architecture & Collaboration
  • Partner with autonomy engineers, systems engineers, and infrastructure teams to gather requirements, define architectures, and influence system design.
  • Mentor junior engineers and set best practices for simulation software integration and infrastructure scaling.

• Strong software engineering background with expertise in modern C++ and Python.
• Experience with containerization and orchestration (Docker, Kubernetes) for scaling simulation workloads.
• Proven experience building and integrating simulation systems for ADAS/AD or related domains.
• Familiarity with scenario description standards (OpenDRIVE, OpenSCENARIO) and data interchange formats (JSON, YAML).
• Deep understanding of simulation subsystems and core engine components.
• Hands‑on experience with middleware and communication frameworks (ROS, DDS, or similar).
• Strong debugging, integration, and triage skills across complex distributed systems.
• Familiarity with automotive simulators like CARLA and Car Maker.

• Knowledge of automotive ECU network architectures, ARXMLs and restbus simulation on HIL systems (dSPACE, NI).
• Understanding of Vehicle dynamics and subsystems in vehicles.
• Exposure to cloud infrastructures (AWS, GCP, Azure) for distributed simulation execution.
• Experience with data‑intensive workflows for large‑scale simulation data processing.
• Understanding of real‑time systems, multithreading, and optimization for simulation performance.
• Background in sensor simulation/validation (camera, radar, lidar).
• In…