SDE - Simulation, Frontier AI Robotics

This is an ideal role for a software engineer looking to break into the frontier of AI and Robotics. You will join a high-performing simulation team, working alongside senior simulation specialists, roboticists, and scientists. While you don't need years of professional robotics experience, you must possess strong software engineering fundamentals and a genuine passion for 3D graphics, physics, or machine learning for physical AI. We will provide the domain mentorship; you bring the coding excellence and the ability to learn complex systems quickly.

In this role, you will build the software tools, infrastructure, and features that power our synthetic data pipelines and reinforcement learning environments. You will write robust, production-quality code to support the generation of multi-modal training datasets and assist in optimizing simulation workflows. You will work across the stack from the Python pipeline tooling to hands-on with multiple physics-based simulators.



Key job responsibilities
* Implement and test features for synthetic data generation pipelines (e.g., randomizing lights, textures, and object placements).
* Develop and maintain robust developer tooling (CLIs, visualization scripts, data converters) to accelerate research workflows.
* Integrate 3D assets and robot models into simulation environments, ensuring correct formats and properties.
* Write clean, maintainable, and efficient code that adheres to best practices.
* Debug simulation issues and optimize performance in collaboration with senior engineers.
* Collaborate with the infrastructure team to ensure simulations scale efficiently for massive data generation

About the team
At Frontier AI & Robotics (FAR), we're not just advancing robotics – we're reimagining it from the ground up. Our team is building the future of intelligent robotics through frontier foundation models and end-to-end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real-world scenarios.

What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's massive computational infrastructure and rich real-world datasets to train and deploy state-of-the-art foundation models. Our work spans the full spectrum of robotics intelligence – from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real-world scenarios. We're building systems that don't just work in the lab, but scale to meet the demands of Amazon's global operations.

Join us if you're excited about pushing the boundaries of what's possible in robotics, working with world-class researchers, and seeing your innovations deployed at unprecedented scale.