Robotics and Agent Solution Architectur… at NVIDIA

What you'd actually do

Use your skills in programming, AI, and accelerated computing to build innovative tools and applications in areas such as robotics, agentic modeling and AI model inference across many domains.

Conduct AI engineering work, assist in developing and optimizing AI models and tools using NVIDIA SDKs and frameworks.

Collaborating with internal teams and external researchers. Explore brand new trends in AI and computing acceleration to contribute to research and technology transfer projects.

Be available 3–4 days per week for at least 6 months.

Skills

Required

Python
C/C++
Linux development environments
analytical and problem-solving skills
communication skills
collaborative approach

Nice to have

large model inference frameworks
multi-modality models
model inference benchmark
robotics manipulation
locomotion
simulation
closed-loop validation
VLA/VAM
agent framework
Openclaw
NVIDIA libraries (NemoClaw, Isaac, BioNeMo, Dynamo, PhysicsNeMo)
published research
open-source contributions

We're seeking outstanding interns to participate in our AI and accelerated computing projects. As an AI4Science Solution Architecture Intern, you’ll collaborate with world-class experts, contribute to groundbreaking innovations, and help build the future of artificial intelligence and high-performance computing. This is an outstanding opportunity to gain hands-on experience while working on real-world projects that make a significant impact!

What you'll be doing:

Use your skills in programming, AI, and accelerated computing to build innovative tools and applications in areas such as robotics, agentic modeling and AI model inference across many domains.
Conduct AI engineering work, assist in developing and optimizing AI models and tools using NVIDIA SDKs and frameworks.
Collaborating with internal teams and external researchers. Explore brand new trends in AI and computing acceleration to contribute to research and technology transfer projects.
Be available 3–4 days per week for at least 6 months. Positions are primarily based in Beijing, Shanghai, or Shenzhen.

What we need to see:

Enrolled in a Master’s or Ph.D. program in Computer Science, Electrical Engineering, Applied Mathematics, or a related field.
Solid programming experience in at least one language (Python, C/C++, etc.) and familiarity with Linux development environments.
Strong analytical and problem-solving skills.
Effective communication and a collaborative approach when working with multi-functional teams.

Ways to stand out from the crowd:

Familiar with large model inference frameworks or multi-modality models, knowledge of model inference benchmark.
Hands-on experience or theoretical knowledge in robotics manipulation, locomotion, simulation, closed-loop validataion and models such as VLA/VAM.
Familiar with various agent framework is a plus and knowledge of Openclaw, skills.
Familiar with NVIDIA libraries (e.g., NemoClaw, Isaac, BioNeMo, Dynamo, PhysicsNeMo) as well as published research or open-source contributions in relevant areas.