Senior Robotics Systems Engineer - Neural Reconstruction and Real2Sim Applications
Core
Build neural 3D reconstruction systems and Real2Sim pipelines that transform real-world sensor data into high-fidelity simulation-ready environments and objects for robotics learning and deployment.
Role type
Senior Systems Engineer (Robotics & 3D Vision)
Builds
Dense 3D reconstruction systems, high-performance simulation workflows, and robotics software bridging research to production.
Domain
Robotics, 3D Vision, Neural Reconstruction, Simulation
Deliverable
production ML models
Required skills
Neural 3D reconstruction, mesh/object reconstruction, deep-learning-based 3D vision, ROS 2, real-time systems, Python, C++, multi-sensor fusion, Isaac Sim, Isaac Lab, MuJoCo
Preferred skills
Neural scene representations (NeRF, 3D Gaussian Splatting, occupancy networks), object reconstruction and sim-ready asset generation, agentic frameworks (LLM/VLM-based task planners), open source contributions, publications at CVPR/ICCV/ICRA/RSS/CoRL
Responsibilities
Build end-to-end Real2Sim pipelines ingesting multi-modal sensor data; Develop neural 3D reconstruction systems and 3D vision components; Integrate reconstruction outputs with mapping, localization, and multi-sensor fusion systems; Collaborate with ML researchers to integrate, deploy, and optimize workflows; 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.
Seniority
Senior, hands-on IC
