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NVIDIA

Designs the chips and software that power AI

Manufacturing Automation Solution Intern

Manufacturing EngineeringConfirmed live in the last 24 hours
Internship · Summer 2027Shenzhen, Guangdong Province, ChinaNo salary listedIn-person

About the Job

Requirements

  • Currently pursuing a Bachelor of Science or Master of Science degree in Computer Science, Automation, Robotics, Mechatronics, Software Engineering, or a related technical domain.
  • Strong Python programming skills, including the ability to write clean, object-oriented scripts and application programming interfaces.
  • Practical experience with at least one 3D simulation or game engine, such as NVIDIA Omniverse, Isaac Sim, Unreal Engine, or Unity, or 3D computer-aided design software such as SolidWorks, Creo, NX, or Blender.
  • Strong analytical problem-solving skills and the ability to collaborate effectively with mechanical engineers, Omniverse developers, and third-party equipment vendors.
  • Skilled in both Chinese and English and able to independently guide and participate in technical business discussions in English.

Responsibilities

  • Clean up, lightweight, and render industrial computer-aided design models into NVIDIA Omniverse, building standardized, high-fidelity OpenUSD 3D digital assets.
  • Define OpenUSD asset standards, including scene hierarchy, PhysX materials, and semantic schemas, for automated equipment in Omniverse, and enable ecosystem partners to build a unified asset ecosystem.
  • Establish virtual testing and interference-review standards in Omniverse; evaluate facility footprint and maintenance limits; and direct vendors to deliver compliant scenes and equipment models within Omniverse.
  • Formulate simulation and Cycle Time (CT) demo examples and evaluation standards for axes and robotics in NVIDIA Isaac Sim and PhysX, driving vendors to improve cycle time and remove efficiency bottlenecks virtually in Omniverse.
  • Define communication interface standards using OPC UA and Modbus with Omniverse Python APIs; connect the equipment software platform with controllers; and guide vendors in connecting to Omniverse for Software-in-the-Loop commissioning.
  • Build digital twin reference implementations by ingesting real-time sensor and machine telemetry data into NVIDIA Omniverse; establish standardized technical frameworks and application programming interface guidelines to enable vendors to replicate live 3D synchronization and supervision across their equipment.
  • Use NVIDIA Omniverse technologies and ecosystem capabilities to translate Physical AI into real-world industrial efficiency and explore emerging business models for digital twins in automation.

Desired Qualifications

  • Familiarity with Linux environments and common industrial communication protocols such as OPC UA, Modbus, and TCP/IP.
  • Practical experience working directly with NVIDIA Omniverse and its ecosystem components, including Isaac Sim for robotics and automation simulation.
  • Familiarity with Pixar OpenUSD structures.
  • Familiarity with industrial control software or automation equipment software.
  • Practical project experience setting up software/hardware communication via OPC UA, Modbus-TCP, MQTT, or WebSockets, and familiarity with Software-in-the-Loop virtual commissioning workflows.
  • A strong engineering standardization approach, including the ability to develop reference implementations from practical projects, write structured application programming interface documentation and standard specifications, and enable external vendors and ecosystem partners.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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