Job Description
The role involves developing and maintaining simulation environments for autonomous vehicle systems, ensuring high-fidelity virtual testing of AI models, and integrating ROS2 middleware and sensor simulations to support autonomous middle-mile logistics operations.
Key Responsibilities
- Develop and maintain ROS2 middleware layers for simulation integration
- Script and implement dynamic testing scenarios within the simulation environment
- Configure and tune simulated sensor suites to provide realistic data streams
- Collaborate to ensure simulation states and performance metrics are accurately streamed to dashboards
- Ensure simulations can run in headless mode within Docker containers for automated testing
- Manage serialization of ROS2 messages for post-simulation analysis and playback
Requirements
- Proficiency in developing and maintaining ROS2 middleware layers using C and Python, including node composition, custom message types, and QoS configuration.
- Experience scripting and implementing dynamic testing scenarios such as traffic interactions, pedestrian behavior, and triggered events using Python or simulator-specific APIs.
- Ability to configure and tune simulated sensor suites including LiDAR, Camera, Radar, and IMU to provide realistic data streams for AI models.
- Experience collaborating with software engineers to ensure simulation states and success/failure metrics are correctly streamed to web-based dashboards.
- Ability to run simulations in headless mode within Docker containers for automated, large-scale cloud testing.
- Experience managing the serialization of ROS2 messages using MCAP Bag files for post-simulation analysis and playback.
- Mastery of ROS2, specifically with Humble, Foxy, or Jazzy versions, including node composition, custom message types, and QoS configuration.
- High proficiency in Python 3.x for scenario logic development and Modern C for performance-critical nodes.
- Proven experience with at least one major simulation platform such as CARLA, Gazebo, NVIDIA Isaac Sim, or SVL.
- Experience building event-driven logic and adversarial agent behaviors within a simulated environment.
- Strong experience in Ubuntu-based Linux development and containerizing robotics stacks using Docker.
- Ability to debug complex timing and synchronization issues between a simulator and a distributed ROS2 stack.
Benefits & Perks
Salary range: 170,000-240,000 USD
Onsite work schedule: 5 days a week at Mountain View, CA
Work environment perks: collaborative, respectful, and inclusive culture emphasizing diversity and growth
Additional benefits: opportunities to work on cutting-edge autonomous vehicle technology, contribute to sustainable supply chain solutions, and be part of a rapidly expanding industry leader
Ready to Apply?
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