Persona AI Inc - Autonomy Software Engineering Internship, World Modeling
Requirements
• 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. • Our Internship Program • At Persona AI, our internship program gives you direct, hands-on experience building cutting-edge humanoid robotics alongside industry experts. We offer full-time term opportunities across three upcoming cohorts: • Fall 2026: August – December • Spring 2027: January – May • Summer 2027: May – August • As an intern, you’ll be paired 1:1 with a senior engineer mentor to accelerate your growth and guide your technical contributions. You will bond with your cohort through intern group lunches, gain cross-functional perspective during company-wide learning lunches, and unwind with fun team activities throughout the term. Whether you're working on advanced motion planning or real-world system testing, you'll tackle meaningful engineering challenges while immersing yourself in our collaborative startup culture. • Application Review Process • We evaluate applications as they are received rather than waiting for the posted deadline to pass. Positions for each cohort are filled on a first-come, first-served basis, and the portal will close as soon as all available roles are finalized. • To give yourself the best chance of securing a spot, keep these tips in mind: • Cohort Availability: Popular terms—especially Summer 2027—tend to reach capacity quickly. • Cohort Availability: • Rolling Interviews: Interviews and candidate evaluations begin immediately upon application receipt. • Rolling Interviews:
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. • We're Looking For • We're Looking For • 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.
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