Amazon.com Services LLC
Posted Oct 15, 2026
Software Engineer - Simulation, Fauna
Midtown · Onsite · Mid · $158.1K–$213.8K
Help moving to NYC
Visa sponsorship likely
Amazon.com Services LLC filed 819 NYC H-1Bs, Oct 2025–Jun 2026; this is a technical role. This is historical evidence, not a promise of sponsorship.
Relocation assistance not stated
Relocation assistance is not stated in this posting.
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Pay
Posted$158,100–$213,800 / year
USA, NY, New York - 158,100.00 - 213,800.00 USD annually
H-1B record$170K Company-wide NYC H-1B median offered wage at Amazon.com Services LLC: $169,761 (819 filings, Oct 2025–Jun 2026). Not specific to this role.
About the role
Fauna uses simulation to train robots, evaluate their behavior, and develop new capabilities before deploying them in the real world. We’re looking for a Simulation Software Engineer to build the environments, tools, and systems that make this possible—from generating diverse virtual worlds to testing robot behavior and running simulation at scale.
You’ll partner with scientists, robotics engineers, and technical artists to expand what robots can experience in simulation and what our teams can build with it. Your work could span procedural scene generation, automated evaluation, interactive experiences, and remotely hosted simulation. We welcome backgrounds in robotics, real-time systems, simulation, and scalable data infrastructure.
Key job responsibilities
- Develop workflows for generating, configuring, and managing diverse scenes, assets, and scenarios.
- Extend simulation to support robot capabilities and interactions among robots, people, and dynamic environments.
- Make simulation experiments reproducible and easy to inspect, with tools for automated evaluation, debugging, and regression testing.
- Build reliable pipelines for generating, processing, and managing simulation data.
- Scale simulation through automation, workload orchestration, and remote hosting, supporting both batch workloads and interactive use.
- Partner with scientists and technical artists to improve simulation performance, usability, and fidelity to real robot behavior (sim2real).
About the team
Fauna Robotics, an Amazon company, is building capable, safe, and genuinely delightful robots for everyday life. Our goal is simple: make robots people actually want to live and interact with in everyday human spaces.
We believe that future won’t arrive until building for robotics becomes far more accessible. Today, too much effort is spent reinventing the fundamentals. We’re changing that by developing tightly integrated hardware and software systems that make it faster, safer, and more intuitive to create real-world robotic products.
Our work spans the full stack: mechanical design, control systems, dynamic modeling, and intelligent software. The focus is not just functionality, but experience. We’re building robots that feel responsive, expressive, and genuinely useful.
At Fauna, you’ll work at the frontier of this space, helping define how robots move, manipulate, and interact with people in natural environments. It’s an opportunity to solve hard problems across hardware and software with a team focused on making robotics accessible and joyful to build.
If you care about making robotics real for everyone and building systems that are as delightful as they are capable, we’d like to hear from you.
- 3+ years of non-internship professional software development experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
- Experience developing robotics software, simulation systems, real-time applications, or scalable data pipelines.
- 2+ years of non-internship experience designing or architecting new and existing systems, including design patterns, reliability, and scaling.
- 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, or rendering.
- Experience with distributed systems, cloud-hosted simulation, or infrastructure for model inference and evaluation at scale.
- Experience building evaluation frameworks or tools for inspecting, replaying, and testing complex system behavior.
- Familiarity with sim2real transfer, domain randomization, or evaluating robot capabilities across varied environments.
- Working knowledge of 3D math, including coordinate transforms, quaternions, and camera models.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
USA, NY, New York - 158,100.00 - 213,800.00 USD annually
You’ll partner with scientists, robotics engineers, and technical artists to expand what robots can experience in simulation and what our teams can build with it. Your work could span procedural scene generation, automated evaluation, interactive experiences, and remotely hosted simulation. We welcome backgrounds in robotics, real-time systems, simulation, and scalable data infrastructure.
Key job responsibilities
- Develop workflows for generating, configuring, and managing diverse scenes, assets, and scenarios.
- Extend simulation to support robot capabilities and interactions among robots, people, and dynamic environments.
- Make simulation experiments reproducible and easy to inspect, with tools for automated evaluation, debugging, and regression testing.
- Build reliable pipelines for generating, processing, and managing simulation data.
- Scale simulation through automation, workload orchestration, and remote hosting, supporting both batch workloads and interactive use.
- Partner with scientists and technical artists to improve simulation performance, usability, and fidelity to real robot behavior (sim2real).
About the team
Fauna Robotics, an Amazon company, is building capable, safe, and genuinely delightful robots for everyday life. Our goal is simple: make robots people actually want to live and interact with in everyday human spaces.
We believe that future won’t arrive until building for robotics becomes far more accessible. Today, too much effort is spent reinventing the fundamentals. We’re changing that by developing tightly integrated hardware and software systems that make it faster, safer, and more intuitive to create real-world robotic products.
Our work spans the full stack: mechanical design, control systems, dynamic modeling, and intelligent software. The focus is not just functionality, but experience. We’re building robots that feel responsive, expressive, and genuinely useful.
At Fauna, you’ll work at the frontier of this space, helping define how robots move, manipulate, and interact with people in natural environments. It’s an opportunity to solve hard problems across hardware and software with a team focused on making robotics accessible and joyful to build.
If you care about making robotics real for everyone and building systems that are as delightful as they are capable, we’d like to hear from you.
- 3+ years of non-internship professional software development experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
- Experience developing robotics software, simulation systems, real-time applications, or scalable data pipelines.
- 2+ years of non-internship experience designing or architecting new and existing systems, including design patterns, reliability, and scaling.
- 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, or rendering.
- Experience with distributed systems, cloud-hosted simulation, or infrastructure for model inference and evaluation at scale.
- Experience building evaluation frameworks or tools for inspecting, replaying, and testing complex system behavior.
- Familiarity with sim2real transfer, domain randomization, or evaluating robot capabilities across varied environments.
- Working knowledge of 3D math, including coordinate transforms, quaternions, and camera models.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NY, New York - 158,100.00 - 213,800.00 USD annually