DiscoverStartupsXiaopeng MotorsJobs at Xiaopeng Motors: Explore current Opportunities
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Autonomous Driving startup501-1000 Employees

Jobs at Xiaopeng Motors

Xiaopeng Motors, established in the middle of 2014, kicked off the core systems development of internet-car with an initial focus on the R&D for the core technologies of electric drive system and intelligent system including motors, battery, electrical control system and central touchscreen, etc. With the vision of 'to build an internet car loved by youngsters ', Xiaopeng Motors is committed to change the way people using, updating and maintaining their cars with our cutting-edge technologies and innovative designs and subversive business models. the 1st Xiaopeng vehicle for sale is expected to be ready in 2017. Financing situation In the middle of 2014, Xiaopeng Motors received venture capital of a few million US dollars from the founders and executive officers in Alibaba, YY, etc. In March 2016, Xiaopeng Motors completed Pre-Series A round financing. On June 2017, Xiaopeng Motors received Series A round funding of 2.2 billions from investors led by Ucar Capital. Xiaopeng Motors will work together with Ucar to build a complete car service system, which connects the whole chain of vehicle R&D, manufacturing, sales and after-sale services. Team members Most of our members come from GAC, BYD, PSA, Ford, Delphi and other famous car companies and tier one suppliers and from Alibaba, Tencent, Samsung, Huawei and other famous Internet and technology companies.
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Engineering

Senior Staff Machine Learning Performance Engineer

NewPosted 1 day ago

Senior Staff Machine Learning Performance Engineer

  • Training Performance at Scale: Own step time, scaling efficiency and long-run stability for foundation-model training across thousands of accelerators — from the data path to kernels, parallelism and communication.
  • Cross-Team Technical Leadership: Work directly with the modeling, infrastructure, simulation, ...
Engineering

Staff Machine Learning Engineer

NewPosted 1 month ago

Staff Machine Learning Engineer

  • Research and develop algorithms for reinforcement learning based methods for planning.
  • Design efficient model architectures that can run in real-time on the computing platform of our vehicles.
Engineering

IT Support Network Engineer - Contractor

NewPosted 1 month ago

IT Support Network Engineer - Contractor

  • Provide day-to-day end-user technical support for HelpDesk, systems, and network issues
  • Manage IT asset management, IT hardware configuration and hardware/software deployment
Engineering

Tech Lead — XPENG Robotics Xplore Lab

NewPosted 1 month ago

Tech Lead — XPENG Robotics Xplore Lab

  • Lead a small, interdisciplinary team on high-impact robotics research.
  • Define and execute technical roadmaps, experiments, and evaluation standards.
Engineering

AI Research Intern – Predictive World Model

NewPosted 1 month ago

AI Research Intern – Predictive World Model

  • Drive a focused research project on predictive world models, spanning problem formulation, architecture design, training, evaluation, and empirical analysis, in close collaboration with a mentor and the broader research team.
  • Contribute to one or more of the following directions: high-quality multi-view future predictio...
Engineering

Senior Machine Learning Engineer - AI Foundation

NewPosted 1 month ago

Senior Machine Learning Engineer - AI Foundation

  • Design and implement training data pipeline that streams data from hundreds of petabytes of labeled and unlabeled data from a fleet of over a million vehicles.
  • Implement training framework for all physical AI foundation models in XPeng, including VLA 2.0, XWorld, Robotics.
Engineering

Senior Machine Learning Engineer – Predictive World Model

NewPosted 2 months ago

Senior Machine Learning Engineer – Predictive World Model

  • Research and develop predictive world models that learn how the physical world evolves, forecasting the future state of a scene from large-scale multimodal driving and robotics data.
  • Develop high-quality multi-view future prediction and generation, supporting both action-conditioned rollouts and formulations that forecast the future without explicit action conditioning.
Engineering

Senior Software Engineer, Agentic Platforms

NewPosted 2 months ago

Senior Software Engineer, Agentic Platforms

  • Design, build, and operate production-grade platform services and infrastructure with strong reliability, observability, and performance.
  • Identify manual, repetitive engineering workflows and eliminate them through self-service automation on the platform.
Engineering

Senior Reinforcement Learning Engineer - Robotics

NewPosted 3 months ago

Senior Reinforcement Learning Engineer - Robotics

  • Research, implement, and evaluate deep-learning-based methods for legged locomotion and whole-body control problems in humanoid robots.
  • Develop and refine end-to-end robot motion controllers using reinforcement learning, imitation learning, or other advanced techniques.
Engineering

AI Infra Onboard Performance Intern

NewPosted 4 months ago

AI Infra Onboard Performance Intern

  • Design and optimize software for deploying large-scale AI models in production vehicles.
  • Profile and improve inference performance across compute, memory, and I/O systems.
Engineering

Staff Robotics Engineer / Tech Lead – Whole-Body Control & Robot Learning

NewPosted 5 months ago

Staff Robotics Engineer / Tech Lead – Whole-Body Control & Robot Learning

  • Develop control and learning-based algorithms forhumanoid robot locomotion, whole-body control, motion generation, and sim-to-real transfer.
  • Contribute to the technical direction of the robotics team by identifying key problems, proposing practical solutions, and helping prioritize engineering efforts.
Engineering

Senior Staff Machine Learning Engineer – Autonomous Driving Foundation Models

NewPosted 7 months ago

Senior Staff Machine Learning Engineer – Autonomous Driving Foundation Models

  • Architectural Leadership: Lead the design of end-to-end VLA architectures, bridging multi-modal perception with high-level linguistic reasoning and precise action generation.
  • World Model Development: Drive R&D in generative world models (latent dynamics) to create high-fidelity, controllable driving simulations for closed-loop training and evaluation.