Senior Robotics Systems Engineer - Neural Reconstruction and Real2Sim Applications

Job Description

NVIDIA’s Isaac‑NuRec team is building neural reconstruction and Real2Sim systems that turn real‑world sensor data into high‑fidelity, simulation‑ready environments and objects for robotics simulation, learning, and deployment. As a Senior Systems Engineer, you will build dense 3D reconstruction systems, high‑performance simulation workflows, and robotics software that bridge research innovations with production‑grade systems, owning end‑to‑end pipelines that transform sensor streams into structured assets and environment representations for downstream robotic applications. We are looking for strategic, ambitious, and creative individuals passionate about advancing the boundaries of robotics! What you’ll be doing: * Build end‑to‑end Real2Sim pipelines that ingest multi‑modal sensor data (RGB/RGB‑D, LiDAR, IMU) and produce high‑fidelity scene and object representations for Isaac Sim. * Develop neural 3D reconstruction systems and related 3D vision components to build digital twins of real‑world environments and objects. * Integrate reconstruction outputs with mapping, localization, and multi‑sensor fusion systems for robust perception and navigation. * Collaborate with ML researchers to integrate, deploy, and optimize workflows to enable training and validation in sim. * Deploy and optimize reconstruction, data generation, and data augmentation pipelines at scale. * Optimize, validate, and debug cross‑stack systems spanning sensors, models, simulation, and downstream robot policies. * Instrument and monitor production Real2Sim and reconstruction services, ensuring reliability, performance, and debuggability in large‑scale deployments. What we need to see: * BS, MS, or PhD in Computer Science, Electrical Engineering, Robotics, or related field (or equivalent experience). * 5+ years in robotics systems, 3D vision, simulation, or closely related software engineering roles. * Hands-on experience with neural 3D reconstruction, mesh/object reconstruction, or deep‑learnin…