Artificial Intelligence Engineer - Matrix AI Consortium

As a Staff AI Engineer with the UTSA MATRIX AI Consortium, you will primarily support research and development activities associated with the DARPA Next-Generation Microelectronics Manufacturing (NGMM) program, while also contributing technical expertise to other MATRIX research projects and initiatives. The position will work closely with MATRIX faculty, researchers, engineers, students, and external collaborators to develop and implement advanced AI/ML capabilities supporting next-generation microelectronics research, design, manufacturing, and workforce development. The AI Engineer will contribute expertise in artificial intelligence, machine learning, data analytics, and AI-enabled engineering workflows to advance NGMM research objectives. In addition to NGMM, the position will support other MATRIX-sponsored research projects and strategic initiatives where AI/ML engineering expertise is needed. This may include the development, integration, testing, benchmarking, and deployment of AI/ML models, software, research tools, and computational platforms across MATRIX’s interdisciplinary research portfolio. The position will join a collaborative research environment working at the intersection of artificial intelligence, advanced computing, microelectronics, and emerging technologies, strengthening MATRIX’s capacity to execute federally funded and other high-impact research programs.

Core Responsibilities

• Develops, designs, and implements AI/ML solutions supporting DARPA NGMM research, including applications in microelectronics design, manufacturing, modeling, optimization, and data analysis.
• Develops and integrates AI-enabled tools and workflows supporting researchers, engineers, and students participating in NGMM and other MATRIX research initiatives.
• Supports experimentation, testing, benchmarking, and validation of AI/ML models, algorithms, software, and computational approaches.
• Provides AI/ML engineering support to other MATRIX research projects and initiatives based on programmatic needs, technical requirements, and research priorities.
• Maintains version control, technical documentation, reproducibility, and compatibility of software, models, datasets, and research tools.
• Collaborates with interdisciplinary and multi-institutional teams to translate research and technical requirements into scalable AI/ML solutions.
• Presents technical approaches and research outcomes in a readily explainable manner to scientific, engineering, government, industry, and other technical audiences.
• Supports dissemination and knowledge transfer through technical documentation, publications, presentations, demonstrations, code repositories, training materials, and user guides.
• Contributes to research and workforce development activities, including technical demonstrations, research modules, and support for students and researchers utilizing MATRIX-developed AI tools and platforms.
• Responsible for other duties as assigned in support of DARPA NGMM, MATRIX-sponsored research, and related strategic initiatives.
• Performs other duties as assigned.

• Bachelor’s degree in a related field.
• Three (3) years of related work experience.
• This position may require the ability to maintain the security and integrity of UT San Antonio and its infrastructure per Texas EO-GA-48.

Knowledge, Skills, and Abilities

• Self-motivation
• Work independently
• Collaboration with a broader interdisciplinary team
• Problem-solving
• Cloud database design (e.g., Google Cloud Platform, BigQuery)
• Database management
• Biomedical and clinical data, and prediction of clinical outcomes
• Making a positive impact in society using AI

Working Conditions

• Office environment. Ability to travel to and from meetings, training sessions, or other business-related events. Occasional after-hours and weekend work or overtime may be required.

Physical Demands

• Sedentary work; sitting most of the time. Jobs are sedentary if walking and standing are required, only occasionally. Exerts up to 10 lbs. of force occasionally.

This position will work both on campus and remotely in Texas. Travel and parking expenses are the employee’s responsibility.

This position is contingent upon a successful background check. Verification of a valid driver’s license and Motor Vehicle Record (MVR) may be completed as applicable. Applicants selected must be able to show proof of eligibility to work in the United States by time of hire.

Salary Range: Commensurate with education, experience, and qualifications.

The University of Texas at San Antonio (UT San Antonio) is a nationally recognized, top-tier public research university that unites the power of higher education, biomedical discovery and healthcare within one visionary institution. As the third-largest research university in Texas and a Carnegie R1-designated institution, UT San Antonio is a model of access and excellence - advancing knowledge, social mobility and public health across South Texas and beyond. UT San Antonio serves approximately 42,000 students in 320 academic programs spanning science, engineering, medicine, health, liberal arts, AI, cybersecurity, business, education and more. With 17,000 faculty and staff, UT San Antonio has also been recognized as a Top Employer in Texas by Forbes Magazine. Learn more online, on UT San Antonio Today or on X, Instagram, Facebook, YouTube or LinkedIn.