算法工程师（三维重建方向）_XC
Core
Develop next-gen data and simulation engines for autonomous driving using 3D Gaussian Splatting, neural rendering, and generative AI for real-world scene reconstruction and simulation.
Role type
Senior IC machine-learning engineer (3D reconstruction & neural rendering)
Builds
High-fidelity 3D scene assets and simulation environments for autonomous driving data production and validation
Domain
Autonomous driving / Computer Vision / 3D Graphics
Deliverable
production ML models
Required skills
3D Gaussian Splatting, Neural Rendering, 3D Reconstruction, SLAM, SfM, MVS, Camera models, Multi-view geometry, Pose optimization, Bundle Adjustment, Multi-sensor data processing, CUDA, PyTorch, C++, Python
Preferred skills
3DGS variants (Street Gaussian, PVG, EmerNeRF), Simulation frameworks (LogSim, WorldSim, Unreal Engine, Omniverse, Isaac Sim), Real-time rendering, Distributed training, Model compression, Open source contributions, Top-tier conference publications
Technologies
PyTorch, CUDA, Python, C++, Unreal Engine, Omniverse, Isaac Sim
Responsibilities
Design and implement 3DGS/Neural Rendering algorithms for autonomous driving scene reconstruction; Research multi-sensor reconstruction and rendering quality improvements; Build 3DGS asset production pipelines for simulation engines; Research dynamic object reconstruction and scene generalization; Integrate reconstruction results with perception/planning systems; Optimize training, rendering, and inference efficiency for large-scale deployment.
Seniority
Senior, hands-on IC
