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R&D Software Engineering Scientist Associate

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Job Posting Title:

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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:

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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

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.
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 Citizen. 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.

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
Some weekend, evening and holiday work
Possible interstate/intrastate travel

Required Materials

Resume/CV
3 work references with their contact information; at least one reference should be from a supervisor
Letter of interest
Unofficial college transcripts

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 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. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.

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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.

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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.

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Background Checks:

A criminal history background check will be required for finalist(s) under consideration for this position.

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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.

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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 contractor’s legal duty to furnish information.

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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.

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E-Verify:

The University of Texas at Austin use 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. For more information about E-Verify, please see the following:

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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 HOP-3031.

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.

Average salary estimate

$104250 / YEARLY (est.)

min

max

$88500K

$120000K

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What You Should Know About R&D Software Engineering Scientist Associate, The University of Texas at Austin

As an R&D Software Engineering Scientist Associate at the Pickle Research Campus, part of the Applied Research Laboratories, you will play a pivotal role in advancing our research initiatives in the Signal and Information Sciences Laboratory (SISL). Imagine diving deep into the worlds of remote sensing and geospatial data analysis, creating innovative algorithms and applications primarily using Python and C++. This is not just about coding; it's about shaping the future of technology! You'll have the chance to design, train, and deploy Machine Learning models that fulfill crucial project requirements while ensuring the robustness of our software through testing and continuous integration/continuous deployment (CI/CD) practices. Collaboration is key here, as you'll be reviewing and enhancing your peers' work, striving for the best designs and implementations. The ideal candidate will possess a bachelor’s degree in a relevant field, a knack for developing software, and familiarity with tools that ensure quality and documentation. Bonus points if you've got experience in GPU-accelerated applications and a passion for data visualization. If you’re ready to take your expertise to the next level and contribute to extraordinary projects, we can’t wait to hear from you!

Frequently Asked Questions (FAQs) for R&D Software Engineering Scientist Associate Role at The University of Texas at Austin

What responsibilities does the R&D Software Engineering Scientist Associate have at the Pickle Research Campus?

The R&D Software Engineering Scientist Associate at the Pickle Research Campus is responsible for developing innovative algorithms and software applications using Python and C++ to support projects in remote sensing, computer vision, and geospatial data analysis. You will also be involved in creating and deploying Machine Learning models, conducting software testing, and improving legacy code to meet emerging project requirements.