1

Locum Autonomous Driving Engineer Jobs in Burr Ridge, IL

Network Security Engineer

Chicago, IL · On-site

$107K - $147K/yr

Waymo is an autonomous driving technology company with the mission to be the world's most trusted ... Create and review Engineering Design Plans (EDPs) for sites, collaborating closely with the greater ...

Senior Java Developer

Chicago, IL

$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 ...

Waymo is an autonomous driving technology company with the mission to be the world's most trusted ... Translate business/engineering requirements into Engineering Design Plans (EDPs), technical project ...

... autonomy. YOUR TASKS AND RESPONSIBILITIES The primary responsibilities of this role are: Driving Results & Execution: Own delivery outcomes across multiple engineering teams or a major capability ...

Your goal is to turn complex business problems into working solutions - driving adoption, unlocking ... On-site Gym About Augment At Augment, we set out to create a fully autonomous AI platform that ...

Staff Engineer

Park Ridge, IL · On-site

$165K - $175K/yr

... driving architecture decisions, mentoring engineers at all levels, and ensuring engineering quality at scale. This role operates with high autonomy, translates ambiguous business problems into clear ...

next page

Showing results 1-20

Locum Autonomous Driving Engineer information

See Burr Ridge, IL salary details

$58.2K

$135.5K

$193.9K

How much do locum autonomous driving engineer jobs pay per year?

As of Jul 23, 2026, the average yearly pay for locum autonomous driving engineer in Burr Ridge, IL is $135,485.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,200.00 and $193,400.00 per year, depending on experience, location, and employer.

What are Locum Autonomous Driving Engineers?

Locum Autonomous Driving Engineers are professionals who temporarily fill engineering roles focused on the development, testing, and implementation of autonomous vehicle technologies. They often work on short-term contracts or as substitutes, providing expertise in areas such as sensor integration, perception algorithms, and vehicle control systems. Their flexible positions allow companies to address skill shortages or project-based needs in the rapidly evolving autonomous driving field. These engineers may work with automotive manufacturers, tech startups, or research institutions, contributing to advancements in self-driving car technologies.

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

AspectLocum Autonomous Driving EngineerAutonomous Vehicle Software Developer
CredentialsEngineering degree, specialized in autonomous systems, relevant certificationsComputer science or software engineering degree, programming certifications
Work EnvironmentTemporary assignments, testing sites, R&D labsOffice-based, software development teams, testing facilities
Employer & Industry UsageConsulting firms, testing companies, automotive OEMsTech companies, automotive manufacturers, startups

While both roles involve autonomous vehicle technology, a Locum Autonomous Driving Engineer typically works on temporary projects focusing on testing and deployment, whereas an Autonomous Vehicle Software Developer primarily develops and maintains software systems for autonomous vehicles. The roles overlap in technical skills but differ in scope and work setting.

What are the key skills and qualifications needed to thrive as a Locum Autonomous Driving Engineer, and why are they important?

To excel as a Locum Autonomous Driving Engineer, you need a strong background in robotics, computer vision, and software development, typically supported by a degree in engineering, computer science, or a related field. Familiarity with tools like ROS (Robot Operating System), simulation platforms (e.g., CARLA), and machine learning frameworks, as well as experience with automotive-grade safety standards, is vital. Outstanding problem-solving skills, adaptability, and effective teamwork enable rapid integration and contribution in dynamic project environments. These competencies ensure reliable development, testing, and deployment of autonomous vehicle systems, meeting both safety and innovation demands.

What types of projects or tasks might a Locum Autonomous Driving Engineer typically handle during a contract assignment?

As a Locum Autonomous Driving Engineer, you can expect to be brought in to support critical phases of ongoing autonomous vehicle development projects. Typical tasks include integrating and testing perception, planning, and control algorithms; debugging and troubleshooting sensor fusion issues; and supporting on-road or simulation-based validation activities. Since the role is contract-based, you'll often collaborate closely with multidisciplinary teams—such as software, hardware, and safety engineers—to quickly onboard and contribute to high-priority milestones. This dynamic environment requires adaptability and strong communication skills to ensure seamless transitions and knowledge sharing with permanent staff.
What cities near Burr Ridge, IL are hiring for Locum Autonomous Driving Engineer jobs? Cities near Burr Ridge, IL with the most Locum Autonomous Driving Engineer job openings:

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

HERE Technologies

Chicago, IL • On-site, Remote

$170K - $250K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 21 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 $250,000 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. 

    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.   

    As part of HERE Technologies employment process, candidates will be required to successfully complete a background verification process. Offers of employment and any related claims are subject to the successful completion of a background verification. Pursuant to 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. 

    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.  

    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. 

    #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 our 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