Autonomy Software Engineering Internship, World Modeling

Persona AI Inc•Houston, TX

2d•Onsite

About The Position

Persona AI is developing and commercializing rugged, multi-purpose humanoid robots that perform real work. Persona's founding team has a decades-long history in humanoid robotics, bionics, and product development delivering robust hardware that has touched the stars, worked miles below the surface of the ocean, and even roamed Disney Parks. Our mission is focused squarely on shipping beautiful, reliable products at massive scale, while building a customer-focused team to achieve these aims. We're looking for an Autonomy Software Engineering Intern to help build the world modeling layer of our autonomy stack. You will work hands-on with NVIDIA Cosmos3, curating real-world industrial video data from our customer facilities and fine-tuning models to give our humanoid robots a grounded understanding of the environments they operate in. This is a paid summer internship based in Houston, TX. You will report to the Behavior Coordination Lead and work directly with the autonomy team alongside our machine learning, perception, and simulation engineers.

Requirements

Currently pursuing a BS, MS, or PhD in Robotics, Computer Science, Machine Learning, Electrical Engineering, or a related field; recent graduates are also welcome.
Hands-on experience training, fine-tuning, or evaluating modern deep learning models in PyTorch.
Strong Python skills; comfortable writing data processing scripts, training loops, and evaluation harnesses.
Working familiarity with at least one vision-language model, large language model, or video understanding model.
Practical experience building data pipelines: ingestion, filtering, labeling workflows, deduplication, train/val/test splits.
Comfortable working in Linux environments with Git, containers (Docker), and cloud GPU infrastructure.
Self-directed and able to make steady progress on an open-ended research problem with weekly check-ins rather than daily direction.

Nice To Haves

Direct experience with NVIDIA Cosmos or comparable world foundation models.
Exposure to NVIDIA Isaac Sim, Omniverse, or OpenUSD for synthetic data generation and scene variability.
Familiarity with humanoid or mobile-manipulator robotics, ROS/ROS 2, and the broader autonomy stack.
Experience with motion capture data, egocentric video capture, or first-person dataset construction.
Exposure to behavior trees, task and motion planning, or LLM-driven planning architectures.
Familiarity with NVIDIA Isaac Lab, NIM microservices, or the Hugging Face training ecosystem.
Prior internship, research, or open-source work on physical AI, embodied reasoning, or robot learning.

Responsibilities

Design and implement autonomy and behavior coordination algorithms for an industrial humanoid platform
Work with manipulation, locomotion, and perception engineers to integrate robot skills into autonomous robot behaviors
Implement data curation pipelines that enable our robots to understand a variety of real-world industrial tasks.
Develop synthetic data generation pipelines for post-training of humanoid world models
Design and implement pipelines for autonomous behavior evaluation, benchmarking, and regression testing
Turn raw industrial video footage (shipyards, steel fabrication, welding cells) into structured, high-quality training data.
Design and evaluate reasoning benchmarks that measure how well a fine-tuned world model grounds language queries in real shipyard and fabrication-plant scenes.