Simulation Environments Engineer, Robotics

About the position We are seeking a Software Engineer to lead our simulation environments initiative, setting the vision for scaling our virtual environments in coverage, realism, and throughput. In this role, you will harness modern game development practices to leverage and extend industry-leading platforms such as NVIDIA Isaac Sim, Unity, or Unreal Engine to design and deliver synthetic environments that are dynamic, richly interactive, and photorealistic. You will build scalable content pipelines that enable rapid creation of diverse simulation scenarios within these synthetic environments that will allow our research teams to push the boundaries of robotics training and validation. Your mission will be to build these simulated environments and associated infrastructure from the ground up. You will be given a high degree of autonomy to do this work. You will select the platform, help source assets and will help build a team of in-house simulation experts. You will collaborate closely with experts across software, hardware, research, and operations to ensure our simulators capture the true complexity of physical interactions while remaining intuitive, extensible, and easy to integrate for other teams. Responsibilities • Design, build, and maintain a high-performance, scalable simulator integrations that meshes cleanly with our existing codebase and data pipelines. • Curate, convert, and quality-check open-source environment assets so they can be deployed at scale across our simulation farm. • Develop domain- and task-randomization frameworks that systematically expose models to diverse visual, physical, and kinematic conditions. • Lead proof-of-concept collaborations with external GPU-accelerated simulation vendors to benchmark new features and influence roadmap priorities. • Establish best practices for versioning, testing, and validating simulated scenarios against real-world benchmarks. Requirements • Enjoy plumbing every layer of a robotics simulation stack-from CAD import and asset optimization to real-time loading, contact dynamics and rendering. • Keep current with advances in physics engines, differentiable simulation, and synthetic-data generation for robot learning. • Have led projects that bridge simulation and robotics, including teleoperation or hardware-in-the-loop testing. • Find satisfaction in building ergonomic tools, templates, and documentation that empower dozens of engineers and researchers to author new tasks quickly. • Have hands-on experience optimizing GPU pipelines, distributed compute jobs, or large-scale reinforcement-learning workloads. • Have experience building NVIDIA Isaac sim environments or environments in other open source world simulation engines. • Want to build creative tasks to challenge cutting edge large action models. Benefits • Relocation assistance to new employees. • Hybrid work model of 3 days in the office per week. Apply tot his job