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AI Network Engineer

2 months ago

Austin, Texas, United States The University of Texas at Austin Full time
About the Opportunity

The University of Texas at Austin is seeking a highly skilled professional to join our team as a Software Engineer. This exciting opportunity involves working on a cutting-edge AI networking project under the guidance of Professor Chandrajit Bajaj.

Project Overview

The project focuses on developing Predictive Intelligent Networking (PIN) agents, employing advanced AI techniques for rapid response decision-making in predictive intelligent communication networks. Our innovative approach centers on enhancing network efficiency, reducing overhead traffic, automating PACE communications planning, and improving scalability in challenging environments.

Key Responsibilities
  • Develop AI agents focused on optimizing network topology for peak performance.
  • Work collaboratively through various project stages, from conceptualizing theoretical frameworks to deploying practical solutions.
  • Drive continuous enhancement of AI agent capabilities, focusing on PACE Routing, Load Balancing, and related features.
  • Contribute to the production of detailed technical reports and presentations that showcase project progress and breakthroughs.
Requirements
  • A strong foundation in AI/machine learning and software development.
  • Experience with network simulation, optimization, and related technologies.
  • Production experience with at least two programming languages.
  • Proficiency with tools pertinent to AI development and network engineering.
  • Versatility in adapting to the dynamic needs and phases of an evolving, research-intensive project.
  • At least 1 year experience in software development or system administration.
Preferred Qualifications
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a closely related field.
  • Demonstrable experience in an interdisciplinary team, preferably within a research or defense-focused environment.
  • A solid understanding of communication protocols and experience in network analysis and data systems.
What We Offer
  • A dynamic and collaborative research environment at the University of Texas at Austin.
  • Opportunities to work on pioneering technologies in AI and network security.
  • Access to state-of-the-art facilities and resources at the Computer Visualization Lab.
  • A chance to contribute to a project with a significant impact in the field of C5ISR communications.
Benefits
  • 100% employer-paid basic medical coverage.
  • Retirement contributions.
  • Paid vacation and sick time.
  • Paid holidays.