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Full Time Robotics Simulator Jobs in Chicago, IL

SCADA Engineer

Chicago, IL ยท On-site

$65K - $169K/yr

From autonomous cars to life-saving robots, our digital and software technology experts think ... Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time ...

Engineering and Technical Job Type for Job Posting: Full Time Working Mode for Job Posting: Hybrid ... simulators along with the automated tests for embedded software. Collaborate with CNH systems and ...

Manager II

Chicago, IL ยท On-site

$108K - $192K/yr

Robotics & Automation; Virtual Validation & Prototyping; CAD & Mechanical Design; EDA / Signal ... Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time ...

Portfolio Manager

Chicago, IL ยท On-site

$202K - $230K/yr

Robotics & Automation; Virtual Validation & Prototyping; CAD & Mechanical Design; EDA / Signal ... Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time ...

Senior Consultant

Chicago, IL ยท On-site

$153K - $158K/yr

Robotics & Automation; Virtual Validation & Prototyping; CAD & Mechanical Design; EDA / Signal ... Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time ...

Senior Manager

Chicago, IL ยท On-site

$202K - $230K/yr

Robotics & Automation; Virtual Validation & Prototyping; CAD & Mechanical Design; EDA / Signal ... Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time ...

Full Time Robotics Simulator information

See Chicago, IL salary details

$61.8K

$128.3K

$184.4K

How much do full time robotics simulator jobs pay per year?

As of Aug 8, 2026, the average yearly pay for full time robotics simulator in Chicago, IL is $128,277.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,100.00 and $156,600.00 per year, depending on experience, location, and employer.

What are some common challenges faced by robotics simulator professionals in a full-time role, and how can they be addressed?

Full-time Robotics Simulator professionals often encounter challenges such as ensuring simulation accuracy, managing complex software tools, and keeping up with rapidly evolving robotics technologies. Collaborating closely with robotics engineers and software developers is essential to validate simulation results and integrate new features efficiently. Staying current with industry-standard platforms and regularly attending training or workshops can help overcome technical hurdles and improve simulation fidelity. Open communication within multidisciplinary teams also plays a key role in addressing unexpected issues and achieving project goals.

What is a full time robotics simulator?

Full Time Robotics Simulators are professionals who work with specialized software to create virtual models and environments for testing and developing robots. Their main role is to simulate real-world conditions, allowing engineers to evaluate robot performance, safety, and efficiency before building physical prototypes. This helps reduce costs, identify potential issues early, and speed up the development process. Full Time Robotics Simulators often collaborate with robotics engineers, programmers, and designers to ensure the simulations reflect real-world scenarios accurately.

What is the difference between Full Time Robotics Simulator vs Robotics Software Engineer?

AspectFull Time Robotics SimulatorRobotics Software Engineer
CredentialsBachelor's or higher in Robotics, Computer Science, or related fieldsBachelor's or higher in Computer Science, Robotics, or related fields
Work EnvironmentSimulation labs, software development teams, research facilitiesSoftware development teams, R&D departments, tech companies
Industry UsagePrimarily in robotics development, testing, and simulationDesigning, coding, and testing robotics software applications
Common Search/ComparisonFull Time Robotics Simulator vs Robotics Software Engineer

The main difference is that a Full Time Robotics Simulator focuses on creating and managing simulation environments for robotics testing, while a Robotics Software Engineer develops the software that controls robots. Both roles require programming skills and knowledge of robotics, but their daily tasks and focus areas differ. Understanding these distinctions helps job seekers identify the right career path in the robotics industry.

What are the key skills and qualifications needed to thrive as a robotics simulation engineer?

To thrive as a Robotics Simulation Engineer, you need a strong background in robotics, computer science, and mathematics, typically supported by a relevant engineering degree. Familiarity with simulation tools such as ROS (Robot Operating System), Gazebo, and programming languages like Python or C++ is crucial. Excellent problem-solving skills, attention to detail, and effective communication help you collaborate with engineers and interpret simulation results accurately. These skills ensure precise modeling, validation of robotic behaviors, and efficient integration of new technologies into real-world robotic systems.
What are the most commonly searched types of Robotics Simulator jobs in Chicago, IL? The most popular types of Robotics Simulator jobs in Chicago, IL are:

Postdoctoral Appointee - Humanoid and dexterous robotics development

Argonne National Laboratory

Lemont, IL โ€ข On-site

$72K - $121K/yr

Full-time

Re-posted 9 days ago


Job description

This is an opportunity for a knowledgeable and creative individual to be part of a team developing advanced humanoid and dexterous robotic capabilities for scientific use-cases. Recent progress has solidified artificial intelligence (AI) as a key science accelerator, especially in concert with automated techniques for sample creation, movement, and evaluation. However, the flexibility and intelligence of these systems are insufficient to cover the diversity of human-driven experimental activities. The development of multi-appendage, dexterous robots with embodied intelligence is a key to closing this gap.
The successful candidate will work in the Data Science and Learning division of the Computing, Environment, and Life Sciences directorate of Argonne National Laboratories. Primary responsibilities will be the development of AI models for robotic control and the demonstration of these methods via simulation and experiment. Beyond the listed projects, the candidate may contribute to other large-team scientific projects in artificial intelligence, materials engineering, chemistry, and beyond at Argonne National Laboratory.
Position Requirements
  • Recently completed PhD within the last 0-5 years in computer science, mechanical engineering, artificial intelligence, or related engineering disciplines
  • Experience with state of the art AI methods for robotics
  • Experience with robotics research strongly preferred
  • Experience in deep learning including data collection, architecture development, model training, and validation
  • Interest in software development, with particular emphasis on the Python programming language and contributions to open-source scientific software
  • Scientific productivity, as demonstrated by publications and conference presentations
  • Effective oral and written communication skills
  • Ability to model Argonne's core values of impact, safety, integrity, respect and teamwork.

Job Family
Postdoctoral
Job Profile
Postdoctoral Appointee
Worker Type
Long-Term (Fixed Term)
Time Type
Full time
The expected hiring range for this position is $72,879.00-$121,465.00.
Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.
Click here to view Argonne employee benefits!
As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.
Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.
All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.