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Autonomous System Engineer Jobs (NOW HIRING)

The System Engineer focuses on troubleshooting, maintaining, and stabilizing complex electro ... Experience supporting autonomous or semi-autonomous systems, including conveyors, lifts, AS/RS ...

The System Engineer focuses on troubleshooting, maintaining, and stabilizing complex electro ... Experience supporting autonomous or semi-autonomous systems, including conveyors, lifts, AS/RS ...

The System Engineer focuses on troubleshooting, maintaining, and stabilizing complex electro ... Experience supporting autonomous or semi-autonomous systems, including conveyors, lifts, AS/RS ...

The System Engineer focuses on troubleshooting, maintaining, and stabilizing complex electro ... Experience supporting autonomous or semi-autonomous systems, including conveyors, lifts, AS/RS ...

The System Engineer focuses on troubleshooting, maintaining, and stabilizing complex electro ... Experience supporting autonomous or semi-autonomous systems, including conveyors, lifts, AS/RS ...

The System Engineer focuses on troubleshooting, maintaining, and stabilizing complex electro ... Experience supporting autonomous or semi-autonomous systems, including conveyors, lifts, AS/RS ...

The System Engineer focuses on troubleshooting, maintaining, and stabilizing complex electro ... Experience supporting autonomous or semi-autonomous systems, including conveyors, lifts, AS/RS ...

The System Engineer focuses on troubleshooting, maintaining, and stabilizing complex electro ... Experience supporting autonomous or semi-autonomous systems, including conveyors, lifts, AS/RS ...

The System Engineer focuses on troubleshooting, maintaining, and stabilizing complex electro ... Experience supporting autonomous or semi-autonomous systems, including conveyors, lifts, AS/RS ...

The System Engineer focuses on troubleshooting, maintaining, and stabilizing complex electro ... Experience supporting autonomous or semi-autonomous systems, including conveyors, lifts, AS/RS ...

The System Engineer focuses on troubleshooting, maintaining, and stabilizing complex electro ... Experience supporting autonomous or semi-autonomous systems, including conveyors, lifts, AS/RS ...

Robotics System Engineer

Irvine, CA · On-site

$170K - $190K/yr

Develop system-level understanding of autonomy software, robotic platforms, operational constraints ... Ability to translate engineering knowledge and field behavior into measurable requirements and ...

Robotics System Engineer

Irvine, CA · On-site

$170K - $190K/yr

Develop system-level understanding of autonomy software, robotic platforms, operational constraints ... Ability to translate engineering knowledge and field behavior into measurable requirements and ...

Develop system-level understanding of autonomy software, robotic platforms, operational constraints ... Ability to translate engineering knowledge and field behavior into measurable requirements and ...

The System Engineer focuses on troubleshooting,maintaining, and stabilizing complex electro ... Experience supporting autonomous or semi-autonomous systems, including conveyors, lifts, AS/RS ...

The System Engineer focuses on troubleshooting,maintaining, and stabilizing complex electro ... Experience supporting autonomous or semi-autonomous systems, including conveyors, lifts, AS/RS ...

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Autonomous System Engineer information

See salary details

$53.5K

$127.2K

$167K

How much do autonomous system engineer jobs pay per year?

As of Jun 6, 2026, the average yearly pay for autonomous system engineer in the United States is $127,215.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $157,000.00 per year, depending on experience, location, and employer.

What does an Autonomous System Engineer do?

An Autonomous System Engineer designs, develops, and maintains systems that can operate independently with minimal human intervention. This typically involves integrating hardware and software components, developing algorithms for perception, planning, and control, and ensuring the safety and reliability of autonomous systems like self-driving cars, drones, or robotics. They also work on testing, simulation, and troubleshooting to improve system performance and adapt to new scenarios.

What are some common challenges Autonomous System Engineers face when integrating new technologies into existing systems?

Autonomous System Engineers often encounter challenges such as ensuring compatibility between legacy infrastructure and cutting-edge autonomous technologies. Balancing system safety, reliability, and real-time performance while integrating new hardware or software can be complex. Additionally, it requires close collaboration with multidisciplinary teams—including software developers, data scientists, and hardware engineers—to address interoperability and compliance with industry standards. Successfully overcoming these hurdles is key to deploying robust, scalable autonomous solutions.

What is the difference between Autonomous System Engineer vs Network Engineer?

AspectAutonomous System EngineerNetwork Engineer
CredentialsTypically requires Cisco, Juniper, or similar certifications, along with networking degreesOften holds Cisco CCNA, CCNP, or equivalent certifications and networking degrees
Work EnvironmentFocuses on large-scale internet infrastructure, ISPs, and data centersWorks on enterprise, corporate, or service provider networks
Industry UsagePrimarily in internet service providers, large data centers, and telecom companiesUsed across various industries including corporate, healthcare, and education
Job FocusDesigning, managing, and optimizing autonomous systems and routing protocolsConfiguring and maintaining network hardware and connectivity

While both roles involve networking expertise, Autonomous System Engineers specialize in large-scale internet routing and autonomous systems, whereas Network Engineers focus on broader network infrastructure management across different environments.

What are the key skills and qualifications needed to thrive as an Autonomous System Engineer, and why are they important?

To thrive as an Autonomous System Engineer, you need a strong background in robotics, computer science, and control systems, typically supported by a relevant engineering degree. Familiarity with programming languages like Python or C++, simulation tools such as ROS or Gazebo, and experience with embedded systems are crucial, alongside certifications in AI or machine learning being advantageous. Strong problem-solving abilities, attention to detail, and effective teamwork and communication skills set outstanding candidates apart. These competencies are essential to design, implement, and maintain reliable autonomous systems capable of operating safely and efficiently in complex environments.
More about Autonomous System Engineer jobs
What states have the most Autonomous System Engineer jobs? States with the most job openings for Autonomous System Engineer jobs include:
Infographic showing various Autonomous System Engineer job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 86% Full Time, and 13% Part Time. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $127,215 per year, or $61.2 per hour.

Robotics and Autonomous System Engineering Associate

The University of Texas at Austin

Austin, TX • On-site

$88K - $120K/yr

Full-time

Medical, Retirement, PTO

Posted 5 days ago


University Of Texas at Austin rating

8.1

Company rating: 8.1 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

131st of 532 rated colleges and universities


Job description

Job Posting Title:
Robotics and Autonomous System Engineering 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
As a Robotics and Autonomous System Engineer you will design, implement and test algorithms for autonomous decision making on Uncrewed Underwater Vehicles (UUVs) for the Advanced Technology Laboratory (ATL), at ARL.
Responsibilities
  • Identify, research, and develop autonomy algorithms that use sonar data operating in complex environments to avoid obstacles, aid multi-agent decision making and dynamically replan current tasking and sorties.
  • Design target recognition algorithms for finding objects in the environment and increasing situational awareness.
  • Conduct data analysis across a range of acoustic systems, identifying anomalies and opportunities for improvement..
  • Local in-water testing of generated algorithms, behaviors and capabilities.
  • Aid field tests for algorithms in ocean, littoral, harbor and riverine environments.
  • Document work for knowledge transfer, consistency and efficiency.
  • Travel in support of data collection, system evaluation testing and project meetings.
  • Other related functions as needed.

Required Qualifications
  • Bachelor's degree in Robotics, engineering, Computer Science, math or other applied sciences.
  • Demonstrated ability related to the development and application of robotics, autonomy or machine learning algorithms.
  • Demonstrated ability with implementation and testing of data processing algorithms.
  • Demonstrated ability using object-oriented programming languages.
  • Demonstrated ability with analysis software packages such as Matlab or Python and general programming languages such as C/C++ or Python.
  • Familiarity with Unix/Linux operating systems.

Applicant must be highly organized, have excellent attention to detail, and possess sound scientific judgment. The position will require effective management of their own time with the ability to plan, coordinate, and execute multiple tasks simultaneously. Regular and punctual attendance in the workplace is required.
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
  • Advanced degree in Engineering, Math or Applied Sciences with emphasis in autonomous vehicles, robotics, learning systems, data analysis.
  • Related experience.
  • Cumulative GPA of 3.0.

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.
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. 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.
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.

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