Robotics Real-to-Sim 3D Reconstruction Intern

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.
Field AI — Pioneering Reliable Autonomy in the Real WorldField AI is transforming how robots perceive and interact with unstructured environments. We build risk-aware, field-ready AI systems that bridge the gap between real-world complexity and embodied intelligence. Our globally deployed solutions are already unlocking new capabilities in autonomy, with rapid improvement loops powered by real deployments.We are seeking a Robotics Real-to-Sim Reconstruction Intern who is passionate about 3D scene understanding, simulation technologies, and developing workflows that integrate real sensor data into rich virtual environments. If you enjoy working with modern vision tools, high-fidelity simulation engines, and cutting-edge neural reconstruction methods — while getting hands-on experience with real robotics data — this internship is a chance to contribute directly to core autonomy pipelines.

What You'll Get To Do

• Work with real robot camera and LiDAR datasets to test end-to-end reconstruction pipelines.
• Apply techniques such as Gaussian Splatting, NeRF-style reconstruction, and vision transformer–based models to create realistic scene representations.
• Develop real-to-sim workflows that convert raw sensor data into USD environments for simulation platforms, such as Isaac Sim.
• Experiment with NVIDIA tools and modern GPU workflows to validate reconstruction quality and simulation utility.
• Collaborate with autonomy and hardware teams to align reconstructed environments with real robot behavior and field constraints.

What You Have

• Strong interest in robotics, computer vision, 3D reconstruction, and simulation.
• Experience with camera data (mono and stereo), LiDAR data, or multimodal perception.
• Familiarity with Gaussian Splatting, NeRFs, or related neural reconstruction approaches.
• Working knowledge of Isaac Sim or other simulation frameworks.
• Comfortable programming in Python (C++ and ROS/ROS2 experience is a plus, not required).
• Ability to run experiments, work with datasets, and iterate quickly in an application-focused project.

What Will Set You Apart

• Experience with vision transformers, depth estimation, or domain adaptation.
• Familiarity with robot odometry or SLAM outputs for guiding reconstructions.
• Background in robotics field testing or sensor calibration.
• Exposure to GPU acceleration, PyTorch, or custom neural pipelines.

Start Requirement
We are looking to fill this position as soon as possible.Please apply only if your work authorization permits you to start immediately or no later than January 2026.
Compensation and BenefitsOur salary range is between ($70,000 - $300,000 annual), but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience.  Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.
Why Join Field AI?We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.
You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.
Be Part of the Next Robotics RevolutionTo tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who ch