Amazon
Software Engineer - Simulation, Fauna
$158K–$214K
New York, NY · Full-time · Posted Oct 16, 2026
- Experience
- 3+ years of non-internship professional software development experience; 2+ years of non-internship experience designing or architecting systems.
- Education
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field.
About the job
Build simulation environments, tools, and scalable systems to train robots, evaluate behavior, and develop capabilities before real-world deployment.
What you'll do
- Develop workflows for generating and managing scenes, assets, and scenarios, and extend simulation to support robots and dynamic interactions.
- Build reproducible experiments, automated evaluation and debugging tools, and reliable simulation data pipelines.
- Scale simulation through automation, workload orchestration, and remote hosting; collaborate to improve performance, usability, and sim2real fidelity.
What they ask for
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field.
- Experience programming in at least one modern language, such as Python, Ruby, Golang, Java, C++, C#, or Rust.
- Experience developing robotics software, simulation systems, real-time applications, or scalable data pipelines.
- Experience designing or architecting systems, including design patterns, reliability, and scaling.
Nice to have
- Experience with robotics simulation frameworks or real-time 3D engines, such as Isaac Sim, Isaac Lab, MuJoCo, Unreal Engine, or Unity.
- Experience with procedural scene generation, asset management, sensor simulation, rendering, distributed systems, or sim2real.
Pay
158,100.00 - 213,800.00 USD annually (base salary)
Tools
Python, Ruby, Golang, Java, C++, C#, Rust, Isaac Sim
AI focus
Simulation is used to train robots, evaluate their behavior, and develop new capabilities before deployment; the role builds tools and systems supporting this work.
Model-written summary · the original posting is authoritative