AI Algorithms SW Engineer (RDSS Intern)

3 Months ago • Upto 1 Years • Artificial Intelligence

Job Summary

Job Description

NVIDIA seeks an AI Algorithms & Digital Twin Engineer Intern to develop innovative AI algorithms and digital twin applications for Omniverse platforms. The role involves architecting and prototyping AI solutions for digital twins, designing simulations and synthetic data generation workflows using Omniverse and NVIDIA Replicator, and developing digital twin models for various industrial applications (e.g., simulating AMRs with cuOpt and ROS2, creating inspection workflows, building healthcare robotics simulations). Responsibilities include optimizing AI models for Omniverse Replicator, collaborating with cross-functional teams, supporting customer engagements, and developing use cases for digital twins. The ideal candidate will have a strong background in deep learning, digital twin technology, computer vision, and experience with Omniverse, Replicator SDK, synthetic data generation, and ROS.
Must have:
  • MS/PhD in CS/related field (graduating 2025)
  • Deep Learning, Digital Twin, Computer Vision expertise
  • Omniverse & Replicator SDK experience
  • Synthetic Data Generation & ROS experience
  • AI algorithm optimization for digital twins
  • Python & C# programming skills
Good to have:
  • Familiarity with LLMs and their integration with real-time digital twin systems
  • TensorFlow and PyTorch proficiency
  • Experience with cuOpt and related NVIDIA tools
Perks:
  • Competitive salary
  • Generous benefits package

Job Details

NVIDIA is in search of an AI Algorithms & Digital Twin Engineer Intern to develop innovative AI algorithms and digital twin applications for our Omniverse platforms. This role focuses on using NVIDIA Omniverse to create intelligent, data-driven simulations and digital twins that revolutionize industries such as manufacturing, robotics, healthcare, and inspection. By combining advanced AI techniques with the power of Omniverse, this position will give to building real-time, scalable, and accurate simulations that enhance operational efficiency and innovation.

What You’ll Be Doing:

  • Collaborate with the software team to architect and prototype AI algorithms and solutions tailored for digital twin applications.

  • Design and implement simulations and Synthetic Data Generation workflows using Omniverse and NVIDIA Replicator.

  • Develop digital twin models for various industrial applications, such as: Simulating Autonomous Mobile Robots (AMRs) with cuOpt and ROS2 for fleet management.

  • Creating inspection workflows for simulated testing and quality improvement.

  • Building data-driven healthcare robotics simulations for training and data collection.

  • Optimize AI models and workflows for integration with Omniverse Replicator and associated tools to ensure real-time, high-fidelity simulation.

  • Collaborate with cross teams and partners to design, deploy, and improve simulation protocols tailored to specific operational needs.

  • Support customer engagements and internal teams by developing use cases for digital twins, bridging the gap between real-world operations and simulated environments.

What We Need to See:

  • MS or PhD candidate in Computer Science, Computer Engineering, Electrical Engineering, or a related field, graduating in 2025.

  • Specialization in Deep Learning, Digital Twin Technology, and Computer Vision.

  • Solid experience in developing digital twin models and simulations using NVIDIA Omniverse and Replicator SDK.

  • Hands-on experience on Synthetic Data Generation for inspection and Robot Operating System for robotics and fleet management.

  • Proficiency in optimizing AI algorithms and workflows for digital twin applications.

  • Familiarity with large language models (LLMs) and their integration with real-time digital twin systems.

  • Proficiency with deep learning frameworks like TensorFlow and PyTorch.

  • Experience with simulation platforms such as Omniverse, cuOpt, and related NVIDIA tools.

  • Strong programming skills in Python and C#.

  • Strong communication skills.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

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