NVIDIA
Senior Robotics Systems Engineer - Neural Reconstruction and Real2Sim Applications
$152K–$288K
US, CA, Santa Clara · Senior · Full-time · Posted Jun 24, 2026
- Experience
- 5+ years in robotics systems, 3D vision, simulation, or closely related software engineering roles.
- Education
- BS, MS, or PhD in Computer Science, Electrical Engineering, Robotics, or a related field (or equivalent experience).
About the job
Build and operate end-to-end Real2Sim and neural 3D reconstruction systems that convert sensor data into simulation-ready environments and objects for robotics.
What you'll do
- Develop Real2Sim pipelines and high-fidelity scene and object representations for Isaac Sim.
- Integrate reconstruction with mapping, localization, sensor fusion, and robotic learning workflows.
- Optimize, validate, and monitor production reconstruction and data-generation systems at scale.
What they ask for
- BS, MS, or PhD in Computer Science, Electrical Engineering, Robotics, or a related field (or equivalent experience).
- Hands-on experience with neural 3D reconstruction, mesh/object reconstruction, or deep-learning-based 3D vision.
- Experience with ROS 2 and real-time constraints, and familiarity with Isaac Sim, Isaac Lab, or MuJoCo.
- Strong Python and C++ skills, production-systems experience, and ability to drive technical direction or architecture.
Nice to have
- Experience with neural scene representations such as NeRF, 3D Gaussian Splatting, or occupancy networks.
- Experience with agentic frameworks, including LLM/VLM-based task planners, tool-use pipelines, or multi-step reasoning systems.
Pay
152,000 USD - 241,500 USD (base salary, Level 3); 184,000 USD - 287,500 USD (base salary, Level 4)
Tools
RGB/RGB-D, LiDAR, IMU, Isaac Sim, ROS 2, Isaac Lab, MuJoCo, Python
AI focus
Develop neural 3D reconstruction and deep-learning-based 3D vision systems; integrate workflows for robotic training and validation in simulation. Preferred agentic work includes LLM/VLM-based planners and reasoning systems.
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