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Autonomous Driving Jobs in Chicago, IL (NOW HIRING)

Senior Java Developer

Chicago, IL ยท 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 ...

L2- Operator- TAS

Chicago, IL ยท 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 ...

L2- Operator- TAS

Chicago, IL ยท 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 ...

Our high-fidelity, fully controllable, software-in-the-loop sensor simulation products give the leaders in autonomous driving, drone delivery, eVTOL, robotics, and beyond the realism, accuracy, and ...

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Autonomous Driving information

See Chicago, IL salary details

$6

$22

$40

How much do autonomous driving jobs pay per hour?

As of Aug 8, 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 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 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 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 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.

Which car companies offer autonomous driving?

Several major car manufacturers offer autonomous driving features, including Tesla, General Motors (with its Super Cruise system), Ford, BMW, Mercedes-Benz, and Volvo. These companies develop and deploy varying levels of driver-assistance technologies, often requiring specialized skills in software, sensors, and safety standards for autonomous vehicle development.
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:
Infographic showing various Autonomous Driving job openings in Chicago, IL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $45,836 per year, or $22 per hour.

AV Simulation Domain Expert (Sr. Principal) - US (Remote) or Chicago, IL

HERE Technologies

Chicago, IL โ€ข On-site, Remote

$170K - $250K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 days ago


Job description

What's the role?

At HERE Technologies, we are transforming the future of autonomous driving by combining one of the world's richest sources of map and drive data with cutting-edge generative AI. As ADAS and Automated Driving systems increasingly rely on model-driven intelligence, we are building the next generation of AI-powered spatial intelligence platforms that create scalable, high-quality synthetic driving environments for training and validation.

We are seeking a highly experienced AI scientist and technical leader who can bridge the worlds of generative AI and autonomous vehicle simulation. In this role, you will lead the development of map-grounded world foundation models, enabling the creation of realistic, controllable, and measurable synthetic driving scenarios that accelerate the next generation of perception and planning systems.

As a Senior Principal AI Scientist, you will:

  • Lead the technical strategy and development of map-grounded world foundation models, leveraging HERE map and drive data to generate realistic and controllable driving scenarios.
  • Train, fine-tune, and deploy advanced generative AI models, including diffusion models, transformer-based world models, and generative video architectures for autonomous driving applications.
  • Drive proof-of-concept initiatives with strategic technology partners, establishing measurable success criteria and translating research outcomes into actionable business recommendations.
  • Bridge generative AI workflows with AV simulation platforms such as CARLA, NVIDIA Drive Sim, and other industry-standard environments to support training and validation use cases.
  • Define and implement quality frameworks that evaluate synthetic data utility, controllability, coverage, and downstream model performance.
  • Collaborate across machine learning, perception, planning, simulation, and product teams to ensure synthetic data solutions deliver measurable improvements in real-world autonomous driving performance.
  • Serve as a trusted technical advisor to engineering and business leaders, translating complex AI concepts into strategic opportunities and product roadmaps.
Who are you?

You are a recognized expert in both deep learning and autonomous vehicle simulation, with a proven record of turning advanced AI research into production-ready solutions. You are equally comfortable training large-scale world models, designing simulation-based validation strategies, and influencing technical direction across multidisciplinary teams.

You bring:
  • Advanced degree (M.S. or Ph.D.) in Computer Science, Artificial Intelligence, Robotics, Machine Learning, or a related field.
  • 10+ years of experience in machine learning, autonomous systems, simulation, robotics, or related disciplines, including significant hands-on experience developing and deploying AI models.
  • Deep expertise in generative AI, including diffusion models, generative video systems, transformer architectures, world models, or related foundation model technologies.
  • Strong proficiency in Python and PyTorch, with experience building scalable research and production ML pipelines.
  • Hands-on experience with autonomous vehicle simulation platforms such as CARLA, NVIDIA Drive Sim, or equivalent simulation environments.
  • Strong understanding of OpenDRIVE, OpenSCENARIO, ASAM OpenX standards, scenario-based validation, and sim-to-real methodologies.
  • Experience evaluating synthetic data quality for machine learning applications, including controllability, diversity, coverage, label fidelity, and downstream model effectiveness.
Nice to have:
  • Experience with NVIDIA Cosmos, Cosmos-Transfer, or other world foundation model platforms.
  • Background in reinforcement learning, end-to-end driving systems, or multi-agent simulation.
  • Experience in automotive, robotics, or other safety-critical domains, including familiarity with ISO 26262 and SOTIF concepts.
  • Contributions to research publications, patents, open-source AI projects, or industry-leading innovation initiatives.
  • Experience with Unreal Engine, Unity, sensor simulation, or large-scale training infrastructure.
What sets you apart:
  • You thrive at the intersection of research and execution, translating innovation into real-world impact.
  • You can communicate effectively with AI researchers, simulation engineers, product managers, and executive stakeholders.
  • You are hands-on, data-driven, and focused on measurable outcomes rather than theoretical perfection.
  • You bring a systems-thinking mindset, understanding how decisions in data generation affect downstream AI performance.
  • You are passionate about building technology that advances the future of autonomous mobility.

    The expected base salary range for this position is $170,600 to $250,000ย per year. Actual compensation will be based on factors such as skills and experience. This position is also eligible for an annual performance bonus, which is subject to company and individual performance.ย 

    Life at HERE comes with generous benefits to support your health and overall wellness. Benefits available to US-based HERE employees include health (Medical/Dental/Vision) insurance, retirement savings plans, paid time off & leave policies.ย ย ย 

    As part of HERE Technologies employment process, candidates willย be requiredย to successfully complete a background verification process. Offers of employment and any related claims are subject to the successful completion ofย a backgroundย verification.ย Pursuant toย the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, HERE will consider for employment qualified applicants with arrest and conviction records.ย 

    HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics.ย ย 

    Under Section 503 of the Rehabilitation Act of 1973 and VEVRAA, we have developed an affirmative action program (AAP) for individuals with disabilities and protected veterans. Portions of the AAP are available for review by applicants and employees through our People Team.ย 

    #LI-SA3

Who are we?

HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes - from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely.

At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people's lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on ourย YouTube Channel.

As ADAS/AD moves towards model-driven intelligence, industry value is extending from map delivery to model training and validation. HERE can convert its map and drive data into a scalable AI model-creation platform - capturing significant value from training, validation and next generation ADAS/AD performance.

It's the growth of HERE's AI-model creation platform that turns maps and drive data into reusable spatial intelligence - powering scalable training, validation, and next generation ADAS/AD performance.

Employment Type: OTHER