Senior Robotics Systems Engineer, Neural Reconstruction and Real2Sim Applications

What you'll do

• Build end-to-end Real2Sim pipelines to transform multi-modal sensor data into high-fidelity scene and object representations.
• Develop neural 3D reconstruction systems to create digital twins of real-world environments and objects.
• Integrate reconstruction outputs with mapping, localization, and multi-sensor fusion systems for robot perception.
• Deploy and optimize reconstruction, data generation, and data augmentation pipelines at scale.
• Optimize and debug cross-stack systems spanning sensors, models, simulation, and downstream robot policies.
• Instrument and monitor production Real2Sim and reconstruction services to ensure reliability and performance.
• Integrate and optimize ML research workflows to enable training and validation in simulation environments.

What we're looking for

• BS, MS, or PhD in Computer Science, Electrical Engineering, Robotics, or a related field (or equivalent experience).
• 5+ years of experience in robotics systems, 3D vision, simulation, or closely related software engineering roles.
• Hands-on experience with neural 3D reconstruction, mesh/object reconstruction, or deep-learning–based 3D vision.
• Experience with ROS 2 and real-time constraints, plus familiarity with Isaac Sim, Isaac Lab, or MuJoCo.
• Strong Python and C++ skills with a proven ability to ship production-quality systems and drive technical architecture.
• Exposure to reinforcement or imitation learning workflows for robotic perception and control.
• Experience with neural scene representations like NeRF, 3D Gaussian Splatting, or occupancy networks (preferred).
• Experience with object reconstruction, sim-to-real transfer, or building LLM/VLM-based task planners (preferred).