Senior Robotics Systems Engineer - Neural Reconstruction and Real2Sim Applications

Details

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.

Responsibilities

• 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.

Requirements

• 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-learning–based 3D vision.
• Exposure to reinforcement or imitation learning workflows for robotic perception and control.
• Experience with ROS 2 and real-time constraints, plus familiarity with Isaac Sim, Isaac Lab, or MuJoCo.
• Proven ability to drive technical direction or architecture for complex robotics or 3D perception systems, with strong Python and C++ skills and experience shipping production-quality systems.

Ways to Stand Out

• Experience with neural scene representations (NeRF, 3D Gaussian Splatting, occupancy networks).
• Experience with object reconstruction and sim-ready asset generation pipelines (e.g., mesh extraction, material and collision setup, USD export).
• Familiarity with multi-sensor fusion, sim-to-real transfer, and data augmentation workflows.
• Experience building or integrating agentic frameworks, including LLM/VLM-based task planners, tool-use pipelines, or multi-step reasoning systems.
• Contributions to robotics or 3D vision open source, or publications at venues such as CVPR, ICCV, ICRA, RSS, or CoRL.

Compensation and Benefits

• Base salary range: 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. Base salary will be determined based on your location, experience, and the pay of employees in similar positions.
• Eligible for equity and benefits (link to NVIDIA benefits provided in original posting).

Additional Information

• Applications for this job will be accepted at least until June 28, 2026.
• This posting is for an existing vacancy.
• NVIDIA uses AI tools in its recruiting processes.
• NVIDIA is an equal opportunity employer and provides an inclusive work environment.