AI Developer Technology Intern, Robotics - 2027

NVIDIA
Shanghai, Beijing
Workplace: OnsiteInternshipFunction: Software EngineeringSkills: ["Curious","Self-motivated","Analytical thinking","Collaboration","Problem-solving"]

Work on training and inference for robotics foundation models on NVIDIA GPU clusters. You’ll develop and optimize training pipelines, profile and improve inference performance, and apply modern DL/ML methods to real robotics problems. Partner with DevTech, architecture, research, libraries, tools, and system software teams to influence next-generation architectures and programming models, and create samples, reference implementations, and documentation for developers.

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FursaFursa
NVIDIA
NVIDIA
2 weeks ago

AI Developer Technology Intern, Robotics - 2027

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Work on training and inference for robotics foundation models on NVIDIA GPU clusters. You’ll develop and optimize training pipelines, profile and improve inference performance, and apply modern DL/ML methods to real robotics problems. Partner with DevTech, architecture, research, libraries, tools, and system software teams to influence next-generation architectures and programming models, and create samples, reference implementations, and documentation for developers.
Location: Shanghai, Beijing
Workplace: Onsite
Employment Type: Internship
Job Function: Software Engineering
Seniority: Intern level

Key Responsibilities

  • •Develop and optimize training pipelines for robotics foundation models on NVIDIA GPU clusters.
  • •Profile, analyze, and optimize model inference performance on NVIDIA platforms.
  • •Apply modern DL/ML techniques to real-world robotics problems.
  • •Collaborate with NVIDIA architecture, research, libraries, tools, and system software teams to influence next-generation architectures and platforms.
  • •Build samples, reference implementations, and documentation, and discuss results with senior DevTech engineers.

Key Requirements

  • •Currently pursuing a Master’s or PhD in Computer Science, Robotics, AI/ML, Electrical Engineering, or a related field.
  • •Strong programming skills in Python; familiarity with C/C++ and CUDA is a plus.
  • •Experience with deep learning frameworks such as PyTorch.
  • •Understanding of transformer architectures and large-scale model training.
  • •Basic knowledge of robotics concepts including kinematics, control, perception, or simulation.
Experience:RoboticsDeep learningDistributed trainingLarge-scale model trainingEmbodied AI
Education:
Skills:CuriousSelf-motivatedAnalytical thinkingCollaborationProblem-solving
Tech Stack:PythonC/C++CUDAPyTorchTransformersDeepSpeedMegatron-LMFSDPNeMoSGlangVLLMIsaac SimIsaac LabGR00T

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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