PhD Research Intern, Generalist Embodied Agents Research - 2027

NVIDIA
Santa Clara
Workplace: HybridFull timeUSD 38 - 94 hourlyFunction: Research & Scientific (R&D)Education: phdSkills: []

Build humanoid robot foundation models and embodied-agent systems with NVIDIA’s Generalist Embodied Agent Research (GEAR) group. Work on novel AI algorithms and large-scale training/inference for foundation models, optimizing them for physical simulation and robot hardware. Collaborate across research and engineering teams to transfer results into products and services, contributing to moonshot robotics milestones and product roadmaps.

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FursaFursa
NVIDIA
NVIDIA
1 day ago

PhD Research Intern, Generalist Embodied Agents Research - 2027

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Last checked: 15 hours agoStatus: Live

Job Summary

Build humanoid robot foundation models and embodied-agent systems with NVIDIA’s Generalist Embodied Agent Research (GEAR) group. Work on novel AI algorithms and large-scale training/inference for foundation models, optimizing them for physical simulation and robot hardware. Collaborate across research and engineering teams to transfer results into products and services, contributing to moonshot robotics milestones and product roadmaps.
Location: Santa Clara
Workplace: Hybrid
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Intern level

Key Responsibilities

  • •Design and implement novel AI algorithms and models for general-purpose humanoid robots and embodied agents.
  • •Develop large-scale training and inference methods for foundation models.
  • •Optimize and deploy AI models in physical simulation and on robot hardware.
  • •Collaborate across NVIDIA research and engineering teams to transfer research to products and services.

Pay and Benefits

Salary: USD 38 - 94 hourly

Key Requirements

  • •Pursuing a PhD in Computer Science/Engineering, Electrical Engineering, or a related field.
  • •Strong engineering skills with rapid prototyping and model training frameworks (PyTorch, JAX, TensorFlow); Python required.
  • •Experience working with large-scale ML/AI systems and AI/compute infrastructure.
  • •Hands-on experience with at least one area: multimodal foundation models or robotics.
  • •Robust hands-on experience with training/publications (e.g., LLMs, vision-language, diffusion/action transformers) or robot learning/control and familiarity with simulation frameworks like MuJoCo and Isaac suite.
Experience:RoboticsMultimodal foundation modelsFoundation modelsMachine learningAIRobot learningReinforcement learningImitation learningPhysics simulationGame AI
Education:PhD / Doctorate in Computer Science/Engineering, Electrical Engineering
Tech Stack:PythonPyTorchJaxTensorflowC++CUDALLMsVision-languageDiffusion modelsAction-based transformersTransformersReinforcement learningImitation learningRobot kinematicsRobot dynamicsRobot sensorsPIDMPCWhole body controlMuJoCo

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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