Software Engineer
Software Engineer
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1 Vacancy
Job Description
Job Posting Title:
Software EngineerHiring Department:
Department of Computer SciencePosition Open To:
All ApplicantsWeekly Scheduled Hours:
40FLSA Status:
ExemptEarliest Start Date:
Aug 01 2024Position Duration:
Expected to Continue Until Mar 01 2027Location:
AUSTIN TXJob Details:
Must be eligible to work in the United States on a fulltime basis for any employer without sponsorship. Position expected to continue until March 1 2027.
Deadline for Application:Applications will be reviewed continuously until the position is filled.
Contact Information:. Please note only applications through Workday will be considered.
Project Affiliation:Army Contract for AIDriven Network Optimization
About the Project:This exciting opportunity at the University of Texas at Austin involves working on a cuttingedge AI networking project under the guidance of Professor Chandrajit Bajaj. The project focuses on developing Predictive Intelligent Networking (PIN) agents employing advanced AI techniques for rapid response decisionmaking 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. Our project is dedicated to crafting advanced machinelearning algorithms specifically designed for network optimization and security challenges. Through rigorous realworld simulation scenarios we aim to deliver robust solutions that excel in environments with incomplete or uncertain data. This role offers the chance to be part of a pioneering effort to create generic solutions for heterogeneous Army networks working within the confines of existing network protocols.
- 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 stateoftheart 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.
- 100 employerpaid basic medical coverage
- Retirement contributions
- Paid vacation and sick time
- Paid holidays
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.
Required Qualifications
- 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 researchintensive project.
- At least 1 year experience in software development or system administration.
Relevant education and experience may be substituted as appropriate.
Preferred Qualifications
- Bachelors or Masters degree in Computer Science Artificial Intelligence or a closely related field.
- Demonstrable experience in an interdisciplinary team preferably within a research or defensefocused environment.
- A solid understanding of communication protocols and experience in network analysis and data systems.
Salary Range
$84000 depending on qualifications
Working Conditions
Standard office conditions
Required Materials
Resume/CV
- 3 work references with their contact information; at least one reference should be from a supervisor
- Letter of interest
Importantfor 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 multiselect additional files. Before submitting your online job application ensure thatALLRequired Materials have been uploaded. Once your job application has been submitted you cannot make changes.
Important for Current university employees and contingent workers:As a current university employee or contingent worker you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee login to Workday navigate to your Worker Profile click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition you must respond to the application questionspresented to upload any additional Required Materials (letter of interest references etc. that were noted above.
Employment Eligibility:
Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through UniversityWide or Open Recruiting to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval.Retirement Plan Eligibility:
The retirement plan for this position is Teacher Retirement System of Texas (TRS) subject to the position being at least 20 hours per week and at least 135 days in length.Background Checks:
A criminal history background check will be required for finalist(s) under consideration for this position.
Equal Opportunity Employer:
Pay Transparency:
The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about discussed or disclosed their own pay or the pay of another employee or applicant. However employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information unless the disclosure is (a) in response to a formal complaint or charge (b) in furtherance of an investigation proceeding hearing or action including an investigation conducted by the employer or (c) consistent with the contractors legal duty to furnish information.
Employment Eligibility Verification:
If hired you will be required to complete the federal Employment Eligibility Verification I9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university.
EVerify:
The University of Texas at Austin use EVerify to check the work authorization of all new hires effective May 2015. The universitys company ID number for purposes of EVerify is 854197. For more information about EVerify please see the following:
- EVerify Poster (English) PDF
- EVerify Poster (Spanish) PDF
- Right To Work Poster (English) PDF
- Right To Work Poster (Spanish) PDF
Compliance:
Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act) you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP3031.
The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services 1616 Guadalupe Street UTA 2.206 Austin Texas 78701.
Employment Type
Full-Time
