The University of Texas at Austin
Research Engineer - Autonomous Systems & Control
United States · On-site · Posted yesterday
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- Salary
- Not listed
- Job type
- Full-time
- Work mode
- On-site
- Source
- Workday (employer's hiring system)
Skills mentioned
Python, Machine Learning, Data Science, Statistics
About the role
Job Posting Title:
Research Engineer - Autonomous Systems & Control----
Hiring Department:
Oden Institute----
Position Open To:
All Applicants----
Weekly Scheduled Hours:
40----
FLSA Status:
Exempt from FLSA----
Earliest Start Date:
Nov 01, 2026----
Position Duration:
Expected to Continue Until Oct 31, 2027----
Location:
UT MAIN CAMPUS----
Job Details:
General Notes
The Oden Institute is an organized research unit that fosters interdisciplinary programs in computational sciences and engineering, computational medicine, computational geosciences, mathematical modeling, applied mathematics, data science, artificial intelligence, software engineering, and computational visualization.
The University of Texas at Austin is a nationally ranked, tier-one research institution and one of the largest employers in central Texas. UT is located in the heart of Austin, a vibrant city that frequently appears on lists of best cities to live and work. Committed to recruiting and retaining a varied and talented workforce, the university offers competitive salaries and benefits, an extensive support network, and above all, an enriching and highly collaborative community that is deeply passionate about our vision for higher education and public service.
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.
Must be eligible to work in the US on a full-time basis.
This position is fixed term and my be renewed annually contingent upon funding availability and satisfactory performance.
Purpose
We are seeking a talented Research Engineer to join our team. You will contribute to multiple research initiatives, including the DARPA CyPhER Forge program, where you will lead the design and development of information-aware trajectory planning and control algorithms for autonomous aircraft systems. Beyond this core focus, you will contribute to a broader portfolio of autonomous systems projects spanning robotics, optimization, and learning-based control methods.
Responsibilities
- Develop and implement trajectory planning algorithms for autonomous aircraft that optimize information gathering while respecting vehicle dynamics and operational safety constraints
- Design robust control strategies that bridge the gap between idealized models and real-world multiphysics phenomena
- Integrate trajectory planning with control design to enable efficient model discovery and uncertainty reduction
- Develop and maintain large-scale software systems for autonomous systems research and deployment
- Collaborate with multidisciplinary teams to validate algorithms through simulation, robot hardware, and experimental platforms
- Publish research findings and present results at technical conferences
- Contribute to program milestones and deliverables, including DARPA CyPhER Forge
Required Qualifications
- Ph.D. in Aerospace Engineering, Control Systems, Robotics, Computer Science, or related field (or equivalent industry experience)
- Strong background in control, trajectory optimization, and machine learning
- Experience with aircraft dynamics, flight control systems, and/or autonomous vehicle control
- Demonstrated experience developing large software projects (>10,000 lines of code) in relevant programming languages (Python, C++, or similar)
- Excellent communication skills and ability to work in collaborative environments
Preferred Qualifications
- Familiarity with Robot Operating System (ROS) and experience with robot hardware/software integration and testing
- Experience with active learning or information-theoretic approaches to optimization, learning, and/or control
- Experience with physics-based vehicle modeling
- Prior DARPA program experience
- Publication record in top-tier venus
Salary Range
$120,000-$150,000
Working Conditions
- May work around standard office conditions
- Repetitive use of a keyboard at a workstation
- Use of manual dexterity
Required Materials
- Resume/CV
- 3 work references with their contact information; at least one reference should be from a supervisor
- 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 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.----
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. This position has the option to elect the Optional Retirement Program (ORP) instead of TRS, subject to the position being 40 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.
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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:
- E-Verify Poster (English and Spanish) [PDF]
- Right to Work Poster (English) [PDF]
- Right to Work Poster (Spanish) [PDF]
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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.
Job ID wd-utaustin-wd1-utstaff-research-engineer---autonomous-systems---control_r_00049207 · Original posting ↗
Visa sponsorship history
- 64 H-1B petitions approved for THE UNIVERSITY OF TEXAS AT AUSTIN in fiscal year 2023 (USCIS).
From public government data. It shows this employer has sponsored workers before, not that this job offers sponsorship: check the job ad or ask the employer. More visa-friendly jobs
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