About the roleWe 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 Santa Clara, 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.
Salary Range - $170,000- $240,000
