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Part Time Autonomous Systems Engineer Jobs (NOW HIRING)

Systems Engineer

Lorton, VA ยท On-site +1

$53K - $108K/yr

Share Systems Engineer The Opportunity: Are you looking for an opportunity to apply your systems ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Systems Engineer

Albuquerque, NM ยท On-site +1

$86K - $198K/yr

Share Systems Engineer The Opportunity: On our team, you will use Model-Based System Engineering ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Systems Engineer

Aurora, CO ยท On-site +1

$61K - $141K/yr

Share Systems Engineer The Opportunity: Are you looking for an opportunity to combine your ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Part Time Autonomous Systems Engineer information

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$53.5K

$127.2K

$167K

How much do part time autonomous systems engineer jobs pay per year?

As of Aug 27, 2026, the average yearly pay for part time autonomous systems 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 is a part time autonomous systems engineer?

A Part Time Autonomous Systems Engineer is a professional who works on designing, developing, and maintaining autonomous systems, such as self-driving vehicles, drones, or robotics, but does so on a part-time basis. Their responsibilities often include programming, testing, and integrating hardware and software to enable machines to operate independently. This role requires knowledge in areas such as artificial intelligence, machine learning, control systems, and sensor integration. By working part-time, these engineers may focus on specific projects or support teams on a flexible schedule, making it ideal for those seeking work-life balance or pursuing additional studies.

What are the key skills and qualifications needed to thrive as a part time autonomous systems engineer?

To thrive as a Part Time Autonomous Systems Engineer, you need a solid background in robotics, computer vision, and control systems, often supported by a degree in engineering, computer science, or a related field. Experience with programming languages such as Python or C++, familiarity with ROS (Robot Operating System), and knowledge of simulation tools like Gazebo are typically required. Strong problem-solving skills, effective communication, and the ability to collaborate remotely are essential soft skills. These competencies ensure the engineer can contribute effectively to complex projects while maintaining productivity and innovation in a flexible, part-time arrangement.

How do part time autonomous systems engineers typically collaborate with full-time team members on ongoing projects?

Part-time autonomous systems engineers often work closely with full-time engineers using collaborative tools like version control systems, shared documentation, and regular virtual meetings to stay aligned on project objectives. They are usually assigned specific tasks or modules that fit within their availability, and they provide updates or code reviews asynchronously when needed. Clear communication and well-documented workflows help ensure smooth handoffs and integration of work, allowing part-time team members to effectively contribute without disrupting the project's momentum.

What is the difference between Part Time Autonomous Systems Engineer vs Part Time Robotics Engineer?

AspectPart Time Autonomous Systems EngineerPart Time Robotics Engineer
CredentialsBachelor's in Engineering, Computer Science, or related field; certifications in autonomous systems or roboticsBachelor's in Robotics, Mechanical, Electrical Engineering; certifications in robotics or automation
Work EnvironmentResearch labs, tech companies, automotive or aerospace industriesManufacturing plants, research labs, automation companies
Industry UsageAutonomous vehicles, drones, intelligent systemsRobotics manufacturing, automation solutions, industrial robots

While both roles involve working with intelligent systems, the Part Time Autonomous Systems Engineer focuses on developing and integrating autonomous functionalities in vehicles and drones, whereas the Part Time Robotics Engineer works on designing and building robotic systems across various industries. The roles often overlap in skills and certifications but differ in application focus.

More about Part Time Autonomous Systems Engineer jobs

What are the most commonly searched types of Autonomous Systems Engineer jobs?

The most popular types of Autonomous Systems Engineer jobs are:

Infographic showing various Part Time Autonomous Systems Engineer job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, 9% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $127,215 per year, or $61.2 per hour.

Autonomous Systems Validation Operator - Miami, FL

KETT ENGINEERING CORPORATION

Miami, FL โ€ข On-site

$24 - $27/hr

Part-time

Posted 13 days ago


Job description

Company Overview

Kett Engineering is a well-established company with over 70 years of experience, specializing in automotive testing and development. Our team supports leading automotive manufacturers and Tier-1 suppliers in managing comprehensive vehicle testing programs across various facilities worldwide.

Opportunity

Kett Engineering is working with a major EV manufacturer, and we are hiring multiple Autonomous Systems Validation Operators on 1st and 2nd shift in Miami, FL. This is an extended data collection and validation project and excellent opportunity to engage with where autonomous vehicle technology is going.

Role Overview

The Autonomous Systems Validation Operator plays a critical role in the development, testing, and safety validation of advanced self-driving and autonomous vehicle technology. Operating at the intersection of hands-on vehicle testing and systems engineering, this role is responsible for driving, evaluating, and troubleshooting prototype vehicles equipped with cutting-edge autonomous software and hardware suites.

You will execute precise test procedures across public roads and private testing tracks, gather crucial data streams for engineering analysis, and provide detailed operational feedback to accelerate the deployment of safe autonomous driving features.

Key Responsibilities

  • Safely operate prototype test vehicles in autonomous, semi-autonomous, and manual modes across diverse traffic, road, and weather conditions for up to 8 hours daily.
  • Maintain constant vigilance and situational awareness; execute safety protocols and intervene or manual disengage seamless when necessary to ensure complete vehicle safety.
  • Perform pre-defined autonomous test cases, edge-case evaluations, and specialized driving scenarios on both public roads and closed-course test facilities.
  • Identify, isolate, and debug hardware, software, and sensor platform anomalies using system diagnostic tools.
  • Work directly with hardware and software engineering teams to communicate system behavior, reproduce edge cases, and escalate critical issues via online ticketing systems.
  • Manage onboard logging equipment, record system performance data, and verify data transfer for engineering analysis.
  • Perform and verify Over-The-Air software updates and system flashes across vehicle ECUs and autonomous control units.
  • Conduct vehicle pre-trip inspections, basic system checks, and sensor calibration/setup prior to test routes.
  • Compose clear, concise, and thorough post-drive reporting, operational logs, and safety feedback for cross-functional stakeholders.

Minimum Qualifications

  • Must hold a valid Driver's License in the state of residence.
  • Clean driving record: No suspensions/revocations within the last 3-5 years.
  • No drug or alcohol-related driving incidents within the last 3 years.
  • No more than 1 serious moving violation within the last 3 years.
  • Willingness to undergo continuous Motor Vehicle Record (MVR) monitoring.
  • Minimum age of 21 years.
  • Prior professional automotive driving, vehicle fleet operations, or autonomous vehicle (AV) testing experience.
  • Ability to maintain focus while operating or monitoring autonomous vehicles independently or with a partner for 6-8 hours per day.
  • Ability to travel up to 50% for off-site field testing and trips.
  • Flexibility to work overtime, non-standard shifts, or weekends as needed.
  • Proficiency with laptops, smartphones, and collaboration software (Google Docs, Sheets, Maps).
  • Strong written and verbal communication skills; ability to concisely articulate technical events and system anomalies.
  • Sound judgment, strong organizational skills, and composure in high-stress or fast-paced testing environments.
  • Ability to lift and maneuver up to 50 lbs.

Bonus Skills

  • Hands-on experience with Jira or equivalent engineering ticketing platforms.
  • Demonstrated proficiency in troubleshooting, flashing, and debugging embedded automotive software and CAN/hardware networks.
  • Experience operating 16 ft+ commercial vehicles, medium-duty trucks, or large fleet platforms.
  • Valid Class A or Class B Commercial Driver's License (CDL).