Software Engineer ML Platform

📋 Description Build and maintain software infrastructure for robotic simulations & ML using NVIDIA Isaac Sim Architect scalable pipelines for generating synthetic and procedurally varied robotic interaction Build automated integration and validation pipelines for evolving simulation platforms, physics Develop AI-assisted engineering workflows for automated code refactoring, maintainability analysis Create reusable abstractions for robot configurations, tasks, sensors, scene assets, domain Build tools that allow data scientists to define experiments without modifying low-level platform 🎯 Requirements Bachelor's degree in computer science, software engineering, computer engineering, robotics, or a 5+ years of industry experience developing software for simulation, machine learning, robotics Experience with high-volume image, video, time-series, or scientific data and formats such as Strong proficiency in Python and at least one additional language such as C++, Java, or TypeScript. Experience building data-intensive applications or data-processing pipelines. Experience designing and operating production-quality backend or platform systems.