Temporary Physical AI Engineer

University of Louisville

2d

About The Position

The Temporary Physical AI Engineer provides time-limited technical coordination and project support for Kentucky Center for Digital Innovation (KCDI) AI initiatives. Under the direction of the KCDI Director and project leads, the engineer supports research and prototype development involving computer vision, robotics, physical AI, and edge computing. The role develops, tests, documents, and evaluates early-stage technical solutions, including Physical AI technologies, world foundation models, edge-computing applications, and research platforms such as the Cresco framework.

Requirements

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

Nice To Haves

• A combination of 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, research/project documentation, problem-solving, communication, responsible data handling, and 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.

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 integrating and testing models on computing hardware or in simulated environments.
• Summarize experimental results, troubleshoot issues, and contribute to research reports and demonstrations.
• Follow university information-security, data-privacy, and research-compliance requirements applicable to assigned projects.
• Support the development, testing, and implementation of Physical AI technologies, including world foundation models, edge-computing applications, and research platforms such as the Cresco framework.

What This Job Offers

• Job Type: Full-time
• Education Level: No Education Listed