AI Developer Technology Intern, Robotics - 2027
Core
Develop and optimize training pipelines and inference performance for robotics foundation models (vision-language-action, world models) on NVIDIA GPU clusters.
Role type
AI Developer Technology Intern (Robotics)
Builds
Training pipelines, inference optimizations, samples, reference implementations, and documentation for NVIDIA robotics AI technologies.
Domain
Robotics + Deep Learning / GPU Computing
Deliverable
production ML models
Required skills
Python, deep learning frameworks (PyTorch), transformer architectures, large-scale model training, robotics concepts (kinematics, control, perception, simulation)
Preferred skills
C/C++, CUDA, distributed training (DeepSpeed, Megatron-LM, FSDP, NeMo), inference optimization (SGlang, vLLM), NVIDIA robotics platforms (Isaac Sim, Isaac Lab, GR00T)
Technologies
NVIDIA GPU clusters, PyTorch, DeepSpeed, Megatron-LM, FSDP, NeMo, SGlang, vLLM, Isaac Sim, Isaac Lab, GR00T
Responsibilities
Develop and optimize training pipelines for robotics foundation models; Profile, analyze, and optimize model inference performance; Apply modern DL/ML techniques to real-world robotics problems; Build samples, reference implementations, and documentation; Collaborate with architecture, research, and system software teams.
Seniority
Intern
