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. You will own 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 multimodal sensor data, including RGB/RGB-D, LiDAR, and 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 multisensor fusion systems for robust perception and navigation.
• Collaborate with machine learning researchers to integrate, deploy, and optimize workflows for training and validation in simulation.
• 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

• Bachelor's, master's, or doctoral degree 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 or object reconstruction, or deep-learning-based 3D vision.
• Exposure to reinforcement learning 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.
• Ability to drive technical direction or architecture for complex robotics or 3D perception systems.
• Strong Python and C++ skills and experience shipping production-quality systems.

Preferred Qualifications

• Experience with neural scene representations such as NeRF, 3D Gaussian Splatting, or occupancy networks.
• Experience with object reconstruction and simulation-ready asset generation pipelines, including mesh extraction, material and collision setup, and USD export.
• Familiarity with multisensor 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 multistep 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

The base salary range is $152,000–$241,500 for Level 3 and $184,000–$287,500 for Level 4. Base salary will be determined based on location, experience, and the pay of employees in similar positions. The role is also eligible for equity and benefits.

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 committed to an inclusive work environment.