ZipRecruiter

Log In

1

Autonomous Driving Jobs in Chicago, IL (NOW HIRING)

Hi-Tech Solutions

Senior Java Developer

Chicago, IL · On-site

$59 - $75.25/hr

... Autonomous Driving (HAD) Map Platform Services. This is an excellent opportunity to work with an energetic and dedicated technical team on highly visible, challenging problems with a direct ...

Transdev

L2- Operator- TAS

Chicago, IL · On-site

$25 - $28/hr

Transdev's Autonomous Mobility & Fleet Specialists are critical to the success of delivering safe autonomous driving systems to our customers, enabling a revolutionary mobility experience. This ...

Transdev

L2- Operator- TAS

Chicago, IL

$25 - $28/hr

Transdev's Autonomous Mobility & Fleet Specialists are critical to the success of delivering safe autonomous driving systems to our customers, enabling a revolutionary mobility experience. This ...

next page

Showing results 1-20

All JobsAutonomous Driving JobsAutonomous Driving Jobs in Chicago, IL

Autonomous Driving information

See Chicago, IL salary details

$6

$22

$40

How much do autonomous driving jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for autonomous driving in Chicago, IL is $22.04, according to ZipRecruiter salary data. Most workers in this role earn between $17.84 and $22.31 per hour, depending on experience, location, and employer.

What is autonomous driving?

Autonomous driving refers to the use of technology to enable vehicles to navigate and operate without direct human input. These vehicles use a combination of sensors, cameras, radar, and artificial intelligence to perceive their environment and make driving decisions. The goal is to improve road safety, reduce human error, and increase transportation efficiency. Autonomous driving systems are typically categorized by levels, ranging from driver assistance to fully self-driving vehicles. This field is rapidly evolving, with ongoing research and real-world testing by automotive and technology companies.

What are some common challenges faced by professionals working in autonomous driving roles?

Professionals in autonomous driving often encounter challenges such as integrating complex sensor data, ensuring the reliability of AI algorithms in unpredictable environments, and meeting strict safety and regulatory standards. Collaboration is key, as teams typically work cross-functionally with hardware, software, and quality assurance groups to solve technical issues and validate system performance. Adapting to rapidly evolving technology and maintaining clear communication across disciplines are essential for success in this dynamic field.

What are the key skills and qualifications needed to thrive in an autonomous driving engineer role, and why are they important?

To thrive as an Autonomous Driving Engineer, you need a solid background in computer science, robotics, and engineering, often demonstrated by a relevant degree and experience in machine learning or computer vision. Proficiency with programming languages such as Python and C++, as well as familiarity with simulation tools, ROS (Robot Operating System), and sensor integration (e.g., LiDAR, radar), is essential. Strong problem-solving abilities, collaboration skills, and adaptability help you effectively tackle complex technical challenges and work within multidisciplinary teams. These skills ensure the development of safe, reliable, and innovative autonomous vehicle systems that meet rigorous industry standards.

What is the difference between Autonomous Driving vs Autonomous Vehicle Software Engineer?

AspectAutonomous DrivingAutonomous Vehicle Software Engineer
Required CredentialsEngineering degrees, specialized training in AI, robotics, or automotive systemsComputer science, software engineering degrees, programming skills in C++, Python
Work EnvironmentResearch labs, automotive companies, testing facilitiesSoftware development teams, automotive tech companies, simulation environments
Industry UsageDeveloping and testing autonomous vehicle systemsDesigning and coding software for autonomous vehicle functions
Common Search/ComparisonYesYes

Autonomous Driving focuses on the overall development, testing, and deployment of self-driving vehicle systems, often involving hardware integration and real-world testing. Autonomous Vehicle Software Engineers primarily concentrate on coding, software design, and algorithm development for autonomous vehicle functionalities. Both roles require technical expertise, but Autonomous Driving is broader, encompassing system integration, while Autonomous Vehicle Software Engineers specialize in software development within the autonomous vehicle industry.

What are popular job titles related to Autonomous Driving jobs in Chicago, IL?

For Autonomous Driving jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Autonomous Driving jobs in Chicago, IL look for?

The top searched job categories for Autonomous Driving jobs in Chicago, IL are:

Autonomous Driving jobs near you
Infographic showing various Autonomous Driving job openings in Chicago, IL as of August 2026, with employment types broken down into 66% Full Time, 27% Part Time, and 7% Temporary. Highlights an 100% In-person job distribution, with an average salary of $45,836 per year, or $22 per hour.

Autonomous Systems Validation Operator

Chicago, IL

KETT ENGINEERING CORPORATION
Engineering Professional Services • 51 - 200 employees
Learn more about KETT ENGINEERING CORPORATIONexternal

$24 - $27/hr

Full-time, Other

Posted 11 days ago

Job description

Company Overview

Kett Engineering is a well-established company with over 60 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 Chicago, IL. 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).

Apply