Senior/Staff Simulation Integration Engineer

We are building a high-scale, web-based simulation platform designed to validate autonomous systems. We have an R&D team producing AI/ML models and a Senior Full-Stack Engineer building the platform interface. We are seeking a Simulation Integration Engineer to be the critical technical link between these two teams. Your role is to ensure that the autonomy stack runs reliably within a virtual environment, creating the complex testing scenarios and ROS2 infrastructure required to stress-test our AI models. This is a "Sim-to-Stack" orchestration role. While you won't be deploying to physical hardware, you are responsible for ensuring the virtual world provides high-fidelity data to the autonomy stack and correctly captures the model's performance This role is onsite 5 days a week at our Mountain View, CA office! What you'll do ROS2 Stack Integration: Develop and maintain the ROS2 middleware layers (C++/Python) that allow AI models to receive sensor data and send control commands within the simulation. Scenario Engineering: Script and implement dynamic testing scenarios (e.g., traffic interactions, pedestrian behavior, triggered events) using Python or simulator-specific APIs. Sensor Simulation: Configure and tune simulated sensor suites (LiDAR, Camera, Radar, IMU) to provide realistic data streams for the AI models. Bridge Development: Collaborate with our Senior Full-Stack Engineer to ensure simulation states and "Success/Failure" metrics are correctly streamed to our web-based dashboard. Headless Orchestration: Ensure simulations can run in "headless" mode within Docker containers for automated, large-scale cloud testing. Data Logging: Manage the serialization of ROS2 messages (MCAP/Bag files) for post-simulation analysis and playback. What we're looking for Expertise in ROS2: Mastery of ROS2 (Humble, Foxy, or Jazzy), including node composition, custom message types, and QoS configuration. Programming: High proficiency in Python 3.x (for scenario logic) and Modern C++ (for performance-critical nodes). Simulation Platforms: Proven experience with at least one major simulator (e.g., CARLA, Gazebo, NVIDIA Isaac Sim, or SVL). Scenario Logic: Experience building event-driven logic and "adversarial" agent behaviors within a simulated environment. Linux & Docker: Strong experience in Ubuntu-based development and containerizing robotics stacks for deployment. Systems Thinking: Ability to debug complex timing and synchronization issues between a simulator and a distributed ROS2 stack. Bonus Qualifications Experience with automated testing frameworks for robotics. Understanding of coordinate frames (TF2) and spatial transformations. Knowledge of CI/CD pipelines for automated simulation runs.