R&D Network Engineering Scientist Associate

Job Posting Title:

R&D Network Engineering Scientist Associate

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Hiring Department:

Applied Research Laboratories

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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:

Immediately

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Position Duration:

Expected to Continue

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Location:

PICKLE RESEARCH CAMPUS

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Job Details:

Purpose

Design, develop, test, integrate and document modern TCP/IP network systems in the Advanced Technology Laboratory (ATL).

Responsibilities

• Design and develop TCP/IP network systems including network, computing, storage and graphics equipment.

• Design and configure network systems equipment for high performance and security.

• Design and develop network infrastructure based on data center designs, both physical and virtual.

• Test, troubleshoot, integrate and profile network systems to meet system requirements.

• Document and configuration management of network systems equipment.

• Provide local and remote technical support of network system design and implementation.

• Other related functions as assigned.

Required Qualifications

• Bachelor’s degree in Electrical Engineering or Computer Science.

• Demonstrated knowledge designing, configuring, troubleshooting, testing, validating and documenting TCP/IP model networks.

• Knowledge and experience with network stack and principles, addressing, link-layer protocols, routing protocols, transport protocols and network services.

• Experience with Linux and network security fundamentals.

• Experience with network monitoring, profiling and load balancing.

Applicant must have a dynamic skill set, willing to work with new technologies, be highly organized and capable of planning and coordinating multiple tasks and managing their time. The position will require attention to detail, effective problem solving skills and excellent judgment. Ability to work independently with sensitive and confidential information, maintain a professional demeanor, work as a team member without daily supervision and effectively communicate with all groups of clients. Able to work under pressure and accept supervision. Regular and punctual attendance.

US Citizen. Applicant selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information at the level appropriate to the project requirements of the position.

Preferred Qualifications

• Master’s degree in Electrical Engineering or Computer Science with focus on networked systems.

• Two or more years of professional experience as a Electrical Engineer or Computer Scientist.

• Knowledge and experience with network architecture variations, link aggregation, ECMP, BGP, VLANS and DNS.

• Experience with Network Operating System (NOS) and network security devices and configurations.

• Network certification.

• Eligibility for immediate access to classified information.

General Notes

An agency designated by the federal government handles the investigation as to the requirement for eligibility for access to classified information. Factors considered during this investigation include but are not limited to allegiance to the United States, foreign influence, foreign preference, criminal conduct, security violations, drug involvement, the likelihood of continuation of such conduct, etc.

Please mark "yes" on the application question that asks if additional materials are required.  Failure to attach all additional materials listed below may result in a delay in application processing.

Visit our website (www.arlut.utexas.edu) for additional information about Applied Research Laboratories.

UT Austin offers a competitive benefits package that includes:  
·    100% employer-paid basic medical coverage 
·    Retirement contributions  
·    Paid vacation and sick time 
·    Paid holidays 
Please visit our Human Resources (HR) website to learn more about the total benefits offered.

Salary Range

$88,500 - $120,000+/negotiable depending on qualifications

Working Conditions

• Standard office conditions

• Repetitive use of a keyboard at a workstation

• Use of manual dexterity