Drimva

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.

Model-written summary · the original posting is authoritative

First seen Oct 8, 2026 · Last verified Nov 5, 2026 (UTC)