The University of Texas at Austin
R&D Software Engineering Scientist
The University of Texas at Austin, Austin, Texas, us, 78716
Job Posting Title:
R&D Software Engineering ScientistHiring Department:
Applied Research LaboratoriesPosition Open To:
All ApplicantsWeekly Scheduled Hours:
40FLSA Status:
ExemptEarliest Start Date:
ImmediatelyPosition Duration:
Expected to ContinueLocation:
PICKLE RESEARCH CAMPUSJob Details:Purpose:
Support research and development in the Signal and Information Sciences Laboratory (SISL).Responsibilities:Developing algorithms and software applications in Python and C++ to support remote sensing, geospatial data analysis, computer vision, and ground vehicle navigation.Developing code to support data validation and visualization.Creating, training, testing, and deploying Machine Learning (ML) models to support project requirements.Conducting software testing, code reviews, CI/CD, and verification to support development operations (DevOps).Writing flexible and maintainable software code according to software best practices.Improving legacy software code to meet new project requirements.Reviewing peer-developed software to improve team designs and implementations.Deploying and supporting software delivered outside of ARL:UT.Other related functions as assigned.Required Qualifications:Bachelor's degree in Engineering, Physics, Computer Science, Geoscience, or other related discipline.Three years related experience.Experience using Python and C++ to develop software applications, particularly with applications related to data science, machine learning, computer vision, and data visualization.Experience using software development lifecycle methodologies to design, develop, and maintain software.Knowledge of tools to perform testing, version control, and documentation of code.Experience using containerized applications in deployed environments.Experience developing on Linux and Windows operating systems.Familiarity with using JavaScript and web development frameworks.Demonstrated ability to work effectively, both independently and collaboratively, with a strong commitment to contribution and enabling the entire team.US Citizenship:
Selected applicant is subject to government security investigation and must meet eligibility requirements for access to classified information at level appropriate to project requirements of the position.Preferred Qualifications:Master's degree or PhD in Engineering, Physics, Computer Science, Geoscience, or other related discipline.Experience using C++ and/or Python to develop and implement ML and Deep Learning model architectures, particularly in the fields of geospatial data analysis and computer vision.Experience using GPU-accelerated ML and related frameworks.Experience using JavaScript and web development frameworks.Experience using Unreal Engine and VR/AR environments.Prior work experience in professional or research-oriented software development.Experience with Docker or other containerized application development platform.More than three years of experience working in a computer science or data science field.Cumulative GPA of 3.0 and above.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.Benefits:
UT Austin offers a competitive benefits package that includes:100% employer-paid basic medical coverageRetirement contributionsPaid vacation and sick timePaid holidaysPlease visit our Human Resources (HR) website to learn more about the total benefits offered.Salary Range:
$104,000-$174,000+/negotiable depending on qualifications.Working Conditions:Standard office conditionsRepetitive use of a keyboard at a workstationUse of manual dexteritySome weekend, evening and holiday workPossible interstate/intrastate travelRequired Materials:Resume/CV3 work references with their contact information; at least one reference should be from a supervisorLetter of interestUnofficial college transcriptsImportant 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 multi-select additional files. Before submitting your online job application, ensure that ALL Required 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, log-in 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.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 University-Wide 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:
The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.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.Employment Eligibility Verification:
If hired, you will be required to complete the federal Employment Eligibility Verification I-9 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.E-Verify:
The University of Texas at Austin uses E-Verify to check the work authorization of all new hires effective May 2015. The university's company ID number for purposes of E-Verify is 854197.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).
#J-18808-Ljbffr
R&D Software Engineering ScientistHiring Department:
Applied Research LaboratoriesPosition Open To:
All ApplicantsWeekly Scheduled Hours:
40FLSA Status:
ExemptEarliest Start Date:
ImmediatelyPosition Duration:
Expected to ContinueLocation:
PICKLE RESEARCH CAMPUSJob Details:Purpose:
Support research and development in the Signal and Information Sciences Laboratory (SISL).Responsibilities:Developing algorithms and software applications in Python and C++ to support remote sensing, geospatial data analysis, computer vision, and ground vehicle navigation.Developing code to support data validation and visualization.Creating, training, testing, and deploying Machine Learning (ML) models to support project requirements.Conducting software testing, code reviews, CI/CD, and verification to support development operations (DevOps).Writing flexible and maintainable software code according to software best practices.Improving legacy software code to meet new project requirements.Reviewing peer-developed software to improve team designs and implementations.Deploying and supporting software delivered outside of ARL:UT.Other related functions as assigned.Required Qualifications:Bachelor's degree in Engineering, Physics, Computer Science, Geoscience, or other related discipline.Three years related experience.Experience using Python and C++ to develop software applications, particularly with applications related to data science, machine learning, computer vision, and data visualization.Experience using software development lifecycle methodologies to design, develop, and maintain software.Knowledge of tools to perform testing, version control, and documentation of code.Experience using containerized applications in deployed environments.Experience developing on Linux and Windows operating systems.Familiarity with using JavaScript and web development frameworks.Demonstrated ability to work effectively, both independently and collaboratively, with a strong commitment to contribution and enabling the entire team.US Citizenship:
Selected applicant is subject to government security investigation and must meet eligibility requirements for access to classified information at level appropriate to project requirements of the position.Preferred Qualifications:Master's degree or PhD in Engineering, Physics, Computer Science, Geoscience, or other related discipline.Experience using C++ and/or Python to develop and implement ML and Deep Learning model architectures, particularly in the fields of geospatial data analysis and computer vision.Experience using GPU-accelerated ML and related frameworks.Experience using JavaScript and web development frameworks.Experience using Unreal Engine and VR/AR environments.Prior work experience in professional or research-oriented software development.Experience with Docker or other containerized application development platform.More than three years of experience working in a computer science or data science field.Cumulative GPA of 3.0 and above.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.Benefits:
UT Austin offers a competitive benefits package that includes:100% employer-paid basic medical coverageRetirement contributionsPaid vacation and sick timePaid holidaysPlease visit our Human Resources (HR) website to learn more about the total benefits offered.Salary Range:
$104,000-$174,000+/negotiable depending on qualifications.Working Conditions:Standard office conditionsRepetitive use of a keyboard at a workstationUse of manual dexteritySome weekend, evening and holiday workPossible interstate/intrastate travelRequired Materials:Resume/CV3 work references with their contact information; at least one reference should be from a supervisorLetter of interestUnofficial college transcriptsImportant 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 multi-select additional files. Before submitting your online job application, ensure that ALL Required 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, log-in 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.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 University-Wide 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:
The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.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.Employment Eligibility Verification:
If hired, you will be required to complete the federal Employment Eligibility Verification I-9 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.E-Verify:
The University of Texas at Austin uses E-Verify to check the work authorization of all new hires effective May 2015. The university's company ID number for purposes of E-Verify is 854197.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).
#J-18808-Ljbffr