Software Engineer

Job Posting Title:

Software Engineer

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Hiring Department:

Department of Computer Science

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Position Open To:

All Applicants

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Weekly Scheduled Hours:

40

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FLSA Status:

Exempt

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Earliest Start Date:

Mar 01, 2025

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Position Duration:

Expected to Continue

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Location:

AUSTIN, TX

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Job Details:

General Notes

This position supports an Army-funded research initiative focused on enhancing the reliability and scalability of Army communication networks in contested environments. The role involves designing secure, high-performance software for intelligent agents operating within a multi-agent framework that optimizes network topology under adversarial conditions. The project leverages high-performance computing (HPC), game theory, and machine learning in a novel framework for real-time decision-making in Army tactical networks.

Must be eligible to work in the United States on a full time basis for any employer.

Purpose

Develop, implement, and maintain software to run large-scale experiments on TACC, constructing a multi-agent reinforcement learning environment using ns-3. In this role, you will integrate HPC techniques and data-driven optimization to simulate adaptive network behaviors in controlled unclassified information (CUI) settings, advancing resilient communication strategies.

Responsibilities

• Design, develop, and maintain secure, high-performance CUI software for military communication networks.
• Implement and optimize multi-agent reinforcement learning (MARL) algorithms for real-time network adaptation.
• Develop network security solutions to detect, mitigate, and respond to adversarial threats (e.g., jamming, spoofing).
• Implement parallel and distributed computing techniques for large-scale network simulations and testing.
• Deploy overlay-based network management systems that integrate with existing military radio systems (e.g., TSM, Silvus) at the application layer.
• Optimize software performance in Linux environments.
• Utilize project management tools (Jira, Agile/Waterfall) to track progress and collaborate with Army engineers, DoD researchers, and AI specialists.
• Document software architecture, security protocols, and optimization techniques for Army review and deployment.

Required Qualifications

• B.S. or M.S. in Computer Science, Information Technology, Data Science, or a related field (or equivalent experience).
• 3+ years of experience in network administration, systems engineering, or IT project management.
• Experience with Python, SQL, R, or C++ for data analysis and automation.
• Experience with machine learning frameworks (PyTorch, TensorFlow, scikit-learn) and HPC tools (CUDA, MPI).
• Familiarity with Linux system administration, cloud computing (AWS, Azure), and high-performance computing (HPC) concepts.
• Understanding of project management methodologies (Agile, Waterfall) and DevOps practices.
• Hands-on experience with network troubleshooting, infrastructure planning, and system optimization.

Relevant education and experience may be substituted as appropriate.

Preferred Qualifications

• Master’s degree in Data Science, Computer Science, or Cybersecurity.
• Active or recent Secret security clearance (TS/SCI preferred). Relevant education and experience may be substituted as appropriate.
• Experience with discrete-event network simulators like ns-3.
• Industry certifications such as CCNA, AWS Certified Solutions Architect, CompTIA Security+.
• Familiarity with Army tactical networks (ModRF, TSM, Silvus) or DoD communication systems.
• Background in multi-agent systems, reinforcement learning, or game-theoretic network optimization.

Salary Range

$96,000

Working Conditions

• Secure computing environment, with access to HPC and GPU clusters for large-scale simulations.
• Collaboration with DoD researchers, Army engineers, and academic teams.
• Occasional travel to Army test sites for field demonstrations.

Required Materials

• Resume/CV

• Letter of interest

Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to