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Hybrid Senior Simulation Engineer

Parallel domain · Vancouver, British Columbia, Canada, Canada · Hybrid

Postuler maintenant
Parallel Domain is accelerating the development of autonomous systems through high-fidelity simulation and synthetic data generation. Our platform produces labeled sensor data—including camera, lidar, and radar streams—that helps teams train, test, and validate machine learning models at scale. With capabilities for both open- and closed-loop simulation, our tools provide configurable, realistic environments that unlock faster, safer iteration for AI systems.

We support a wide range of industries, including automotive, aerial robotics, agriculture, warehouse logistics, and security. Our customers—such as the Toyota Research Institute and Woven Planet—use Parallel Domain to improve perception systems and bridge the gap between simulation and the real world. Whether enabling virtual testing of autonomous vehicles or generating diverse edge-case scenarios for robotics, we help customers build smarter AI, faster.

About this role:

We are looking for a Senior Simulation Engineer with deep expertise in C++, Python and Unreal Engine 5.x to contribute to the development of core simulation features and systems. In this role, you’ll be a senior contributor in the Simulation team in designing scalable simulation infrastructure and driving initiatives that improve the realism, accuracy, and usability of our virtual environments. You’ll have significant ownership across the codebase and collaborate closely with product, machine learning, and content teams to bring highly performant and configurable simulation to life.

This position is open to candidates based in the **Pacific Northwest**, specifically in or near **Vancouver, BC or Seattle, WA**. We support hybrid or remote work for team members in this region.