Simulation Integration Engineer

Who we are

Gatik, the leader in autonomous middle-mile logistics, is revolutionizing the B2B supply chain with its autonomous transportation-as-a-service (ATaaS) solution and prioritizing safe, consistent deliveries while streamlining freight movement by reducing congestion. The company focuses on short-haul, B2B logistics for Fortune 500 retailers and in 2021 launched the world’s first fully driverless commercial transportation service with Walmart. Gatik's Class 3-7 autonomous trucks are commercially deployed across major markets, including Texas, Arkansas, and Ontario, Canada, driving innovation in freight transportation. 

The company's proprietary Level 4 autonomous technology, Gatik Carrier™, is custom-built to transport freight safely and efficiently between pick-up and drop-off locations on the middle mile. With robust capabilities in both highway and urban environments, Gatik Carrier™ serves as an all-encompassing solution that integrates advanced software and hardware powering the fleet, facilitating effortless integration into customers' logistics operations. 

About the role

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 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.