Amazon is seeking exceptional talent to help develop the next generation of advanced robotics systems that will transform automation at Amazon's scale.
We're building revolutionary robotic systems that combine cutting-edge AI, sophisticated control systems, and advanced mechanical design to create adaptable automation solutions capable of working safely alongside humans in dynamic environments.
This is a unique opportunity to shape the future of robotics and automation at an unprecedented scale, working with world-class teams pushing the boundaries of what's possible in robotic dexterous manipulation, locomotion, and human-robot interaction.
This role presents an opportunity to shape the future of robotics through innovative applications of deep learning and large language models.
We are seeking a Simulation Applied Scientist to advance the state of the art in physics-based simulation for advanced robotics systems.
This role blends research and practical engineering to develop novel simulation methodologies that accelerate robot development and reduce the simulation-to-reality gap, translating theoretical advances into real-world impact.
The ideal candidate will work at the intersection of theory and practice, contributing research that directly informs deployed robotic systems.
You will join a team that is redefining how robots learn, adapt, and interact with complex, real-world environments.
This role uniquely combines fundamental research with real-world deployment.
You will pursue core research questions in physics-based simulation while seeing your work translated into production systems, validated on real hardware, and informed by deployment data.
Working alongside Simulation Software Engineers, you will help transform research ideas into scalable, production-grade simulation capabilities that directly impact how robots are designed, trained, and deployed.
Key job responsibilities
- Advance physics-based simulation fidelity for contact-rich manipulation and locomotion
- Design and build high-performance simulation tools integrated into a production robotics stack
- Translate research ideas into robust, scalable software pipelines
- Develop methods to quantify and reduce simulation-to-reality gaps across design, safety, and control
- Architect scalable simulation solutions for rigid and deformable body dynamics
- Build simulation pipelines optimized for large-scale reinforcement and policy learning
- Establish frameworks for continuous simulation improvement using real-world deployment data
- Collaborate with engineering, science, and safety teams on simulation requirements and validation About the team
Our team is building a comprehensive simulation platform for advanced robotics development, combining locomotion and manipulation capabilities.
We operate at the cutting edge of physics simulation, reinforcement learning, and sim-to-real transfer, collaborating with world-class robotics engineers, applied scientists, and mechanical designers in a fast-paced, innovation-driven environment.