PhD Research Intern, Embodied and Agentic AI
Nvidia
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This listing doesn't post a salary. Most similar roles pay $114,400–$225,625.
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Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has 1463 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 1096 roles with salary data.
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The PhD Research Intern, AI-Aided Engineering – 2027 joins the AI-Aided Engineering team to develop novel AI methods for physical simulation and engineering design. In this role, you will research, design, and implement methods focusing on neural operators, geometric representations, and large-scale learning. You will collaborate with mentors and product groups to transfer research into practical applications. Key responsibilities include training large-scale neural networks, such as vision transformers or large language models, and working with computational fluid dynamics or CAD/NURBS-based geometric modeling. Required skills include Python programming, PyTorch, and a strong research track record in computer science, applied mathematics, physics, or engineering. You will solve technical problems involving geometry encoding, meshes, point clouds, and agentic AI systems for scientific and engineering workflows.
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