Temporary Physical AI Engineer

The Temporary Physical AI Engineer role supports time-limited technical coordination and project assistance for Kentucky Center for Digital Innovation (KCDI) AI initiatives at the University of Louisville in Louisville, KY. The position focuses on research and prototyping across computer vision, robotics, physical AI, and edge computing, including code development, evaluation, and integration testing.

Responsibilities

• Assist with developing and testing computer vision and machine learning models for research applications.
• Support prototype development and evaluation for robotics, sensor systems, and edge-computing projects.
• Write, test, and document research code, datasets, experiments, and technical workflows.
• Assist with integration and testing of models on computing hardware or within simulated environments.
• Summarize experimental results, troubleshoot issues, and contribute to research reports and demonstrations.
• Follow university requirements related to information security, data privacy, and research compliance for assigned projects.
• Support development, testing, and implementation of Physical AI technologies, including world foundation models, edge computing applications, and research platforms such as the Cresco framework.

Required Qualifications

• Six (6) or more years of related experience, or an equivalent combination of education, training, and work experience.

Preferred Qualifications

• Relevant education, training, and hands-on experience in computer science, engineering, data science, robotics, or a related field totaling approximately four years. Relevant graduate-level research and project experience may count toward this requirement.
• Demonstrated programming experience and familiarity with machine learning or computer vision.
• Technical collaboration experience, including research or project documentation, problem solving, and communication.
• Responsible handling of data and the ability to learn new tools and methods.
• Experience with edge computing frameworks, including Cresco, and development or application of world foundation models and related AI technologies.

Relevant Technologies

• Computer vision
• Machine learning models
• Robotics
• Edge computing
• World foundation models
• Cresco framework

Location and Work Setup

Louisville, KY (onsite).