XPENG
smart technology
SeniorDigitalWorldSystemEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Digital World System Engineer at XPENG. Skills: synthetic data, Digital World generation system, Digital City, Digital Twin, World Model, 3D/4D scene reconstruction, Generative AI, simulation, data generation. overall architecture design and technological evolution of the next-generation synthetic data and Digital World generation system. supporting large-scale model training, simulation and evaluation in the directions of autonomous driving, robotics and embodied intelligence”
What You'll Achieve.
reshaping the future of transportation; make significant impact on the transportation revolution
Industry & Context.
What They're Looking For.
Must Have
Master's degree or above in Computer Science, Artificial Intelligence, Robotics, Computer Vision, Computer Graphics or related majors, R&D experience in related fields such as synthetic data, simulation systems, 3D vision, neural rendering or embodied intelligence, In-depth understanding of technologies related to 3D reconstruction and spatial modeling, including but not limited to SfM, SLAM, NeRF, Gaussian Splatting, Differentiable Rendering, Photogrammetry and other directions, In-depth understanding of data-driven model training systems, R&D experience in large-scale distributed systems, data generation platforms or high-performance rendering systems, excellent system architecture capabilities, cross-team collaboration capabilities, able to promote complex technical projects from research to production landing, continuous enthusiasm and technical exploration capabilities in directions such as embodied intelligence, World Model and Digital World generation
Nice to Have
relevant project experience in Digital Twin, Digital City, simulation platforms or large-scale virtual scene generation, Familiar with cutting-edge technology directions such as multi-modal large models, World Model, Generative AI, Diffusion and Reinforcement Learning, familiar with Unreal Engine, Unity, Omniverse, physical simulation engines or graphics rendering pipelines
What You'll Do.
overall architecture design and technological evolution of the next-generation synthetic data and Digital World generation system
supporting large-scale model training
simulation and evaluation in the directions of autonomous driving
robotics and embodied intelligence
construction of core capabilities in directions such as Digital City
build a high-fidelity
highly scalable virtual world generation and closed-loop simulation system
R&D of algorithms and systems related to 3D/4D scene reconstruction
build a synthetic data production engine for perception
VLA and robot model training
realizing high-quality
high-efficiency and low-cost data generation and delivery
Explore the application of cutting-edge technologies such as Generative AI
World Model and Physics Simulation in the field of simulation and data generation
promote the evolution of data closed-loop towards automation and intelligence
Build a closed-loop simulation system for Digital City
Define synthetic data quality standards and evaluation systems
continuously optimize authenticity
generalization and Sim2Real effects
improve the benefits of model training
construction of synthetic data platform and team
promote the platformization
engineering and large-scale landing of core technologies
form long-term evolution capabilities
How You'll Work.
Team & Collaboration
Collaborate in depth with teams of autonomous driving algorithms, robotics, simulation platforms, data Infra and training platforms; promote the integration and large-scale application of synthetic data and real data systems; cross-team collaboration capabilities
Process & Methodology
promote complex technical projects from research to production landing
Full Job Description
XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity. Job Responsibilities Be responsible for the overall architecture design and technological evolution of the next-generation synthetic data and Digital World generation system, supporting large-scale model training, simulation and evaluation in the directions of autonomous driving, robotics and embodied intelligence. Lead the construction of core capabilities in directions such as Digital City, Digital Twin, and World Model, and build a high-fidelity, highly scalable virtual world generation and closed-loop simulation system. Be responsible for the R&D of algorithms and systems related to 3D/4D scene reconstruction, including multi-view 3D reconstruction, Gaussian Splatting, NeRF, SLAM/SfM, spatiotemporal scene modeling and other directions, to build large-scale spatial understanding and reconstruction capabilities. Build a synthetic data production engine for perception, prediction, planning, VLA and robot model training, realizing high-quality, high-efficiency and low-cost data generation and delivery. Explore the application of cutting-edge technologies such as Generative AI, Diffusion, World Model and Physics Simulation in the field of simulation and data generation, and promote the evolution of data closed-loop towards automation and intelligence. Build a closed-loop simulation system for Digital City, realizing capabilities such as problem scenario reproduction, model playback verification, long-tail problem mining and automated evaluation. Collaborate in depth with teams of autonomous driving algorithms, robotics, simulation pla
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