Temporary Physical AI Engineer
University of Louisville
About the role
Department:
Location:
Non-Campus Other
Time Type:
Full time
Worker Type:
Temporary (Fixed Term)
Job Req ID:
R109632
Minimum Requirements:
Six (6) or more of related experience, or an equivalent combination of education, training and work experience.
Position Description:
The Temporary Physical AI Engineer will provide time-limited technical coordination and project support for Kentucky Center for Digital Innovation (KCDI) AI initiatives.
The Temporary Physical AI Engineer will provide support time-limited Kentucky Center for Digital Innovation (KCDI) research and prototype development involving computer vision, robotics, physical AI, and edge computing. Work under the direction of the KCDI Director and project leads to develop, test, document, and evaluate early-stage technical solutions.
Key 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 modThe Temporary Principal AI Solutions Architect will provide time-limited technical coordination and project support for Kentucky Center for Digital Innovation (KCDI) AI initiatives.The Temporary Principal AI Solutions Architect will provide time-limited technical coordination and project support for Kentucky Center for Digital Innovation (KCDI) AI initiatives.els on computing hardware or simulated environments.
Summarize experimental results, troubleshooting 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.
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; research/project documentation; problem solving; communication; responsible handling of data; ability to learn new tools and methods.
Experience with edge computing frameworks, including Cresco, and the development or application of world foundation models and related AI technologies.
Compensation will be commensurate to candidate experience.
Equal Employment Opportunity
The University of Louisville is an Equal Employment Opportunity employer. The University strives to provide equal employment opportunity on the basis of merit and without unlawful discrimination on the basis of race, sex, age, color, national origin, ethnicity, creed, religion, disability, genetic information, sexual orientation, gender, gender identity or expression, veteran status, marital status, or pregnancy. In accordance with the Rehabilitation Act of 1973 and the Vietnam Era Veteran Readjustment Act of 1974, the University prohibits job discrimination of individuals with disabilities, Vietnam era veterans, qualified special disabled veterans, recently separated veterans, and other protected veterans. The University acknowledges its obligations to ensure affirmative steps are taken to ensure equal employment opportunities for all employees and applicants for employment. It is the policy of the University that no employee or applicant for employment be subject to unlawful discrimination in terms of recruitment, hiring, promotion, contract, contract renewal, tenure, compensation, benefits, and/or working conditions. No employee or applicant for employment is required to endorse or condemn a specific ideology, political viewpoint, or social viewpoint to be eligible for hiring, contract renewal, tenure, or promotion.
Consistent with applicable law, demographic information is collected for aggregate reporting requirements. Demographic information provided through this application is not available to hiring managers/committees and is not considered in hiring or employment decisions.
Assistance and Accommodations
Computers are available for application submission at the Human Resources Department located at 2315 South First Street Walk, Room 02C - Louisville, Kentucky 40292.
If you require assistance or accommodation with our online application process, please contact us by email at employment@louisville.edu or by phone 502-852-6258.
Responsibilities
- Develop and test computer vision and machine-learning models for research applications.
- Support robotics, sensor-system, and edge-computing prototype development and evaluation.
- Write, test, and document research code, datasets, experiments, and technical workflows.
- Integrate and test models on computing hardware or in simulated environments.
- Summarize experimental results, troubleshoot issues, and contribute to research reports and demonstrations.
- Support development and implementation of physical AI technologies, including world foundation models and research platforms.
Qualifications
- Six or more years of related experience, or an equivalent combination of education, training, and work experience.
- Programming experience and familiarity with machine learning or computer vision.
- Relevant education, training, or hands-on experience in computer science, engineering, data science, robotics, or a related field.
- Ability to collaborate, document research and projects, solve problems, communicate effectively, and handle data responsibly.
- Experience with edge-computing frameworks such as Cresco and world foundation models is preferred.
Skills mentioned
About University of Louisville
The name of our school is a clear indicator that we are a distinctive school of public health. Public health is more than restaurant inspections, flu shots and managing health departments. It is identifying emerging health threats and risks, monitoring health factors and status, understanding how people seek and respond to health information and preparing responses to events that can affect the public's health. While we embrace the traditional tasks and roles of public health specialists, we recognize that protecting the public's health today requires much more. It requires a new approach that integrates how information about the public's health is acquired, evaluated, acted on and disseminated, and how these affect the public and its health. It requires preparing our students for careers in the 21st century by using 21st century knowledge and techniques. Our vision We will be an internationally recognized center of excellence for the creation, sharing, and application of knowledge for the public's health. In achieving our vision: We will extend the domain of public health to include all factors in the public's health. We will pursue health information sciences as an inseparable aspect of public health. We will work for close integration of individual health, health care, and public health.
H-1B sponsorship history
Historical employer filing data was found for University of Louisville. The employer record includes 298 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.