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University of Louisville

Temporary Physical AI Engineer

University of Louisville
Louisville, KY Full time Posted 6d ago
Artificial Intelligence Automation Data Processing Data Science Edge Computing Engineer Engineering Industrial Automation Information Technology (IT) Machine Vision Mechatronics Robotics Robotics Ai Software Development
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Job Description

Temporary Physical AI Engineer will support time-limited AI initiatives for Kentucky Center for Digital Innovation (KCDI) through technical coordination and hands-on research and prototyping.

Responsibilities

  • Develop and test 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 and/or simulated environments
  • Summarize experimental results and troubleshoot issues; contribute to research reports and demonstrations
  • Follow university requirements for 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
    • research platforms such as the Cresco framework

Requirements

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

Preferred Qualifications

  • 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; ability to document research and projects; problem solving and communication skills
  • Responsible handling of data; ability to learn new tools and methods
  • Experience with edge computing frameworks, including Cresco
  • Experience building or applying world foundation models and related AI technologies

Skills & Technologies

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

Location: Louisville, KY (onsite)

Engagement: Temporary

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