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Modeling And Simulation Engineer Jobs in Chicago, IL

Filtran is seeking a Design / Project Engineer to lead the design and development of advanced ... of modeling best practices, and experience optimizing designs based on simulation and/or test ...

Design Engineer

Des Plaines, IL ยท On-site

$85K - $96K/yr

... of modeling best practices, and experience optimizing designs based on simulation and/or test ... Ability to understand and interpret detailed engineering and testing specifications. * Familiarity ...

Sr. Software Engineer

Chicago, IL ยท On-site

$130K - $140K/yr

... simulation, and mapping products. This person will own the pipelines, orchestration, APIs ... Nice To Have - Experience supporting GPU inference workloads, large-model deployment pipelines ...

Sr. Software Engineer

Chicago, IL ยท On-site

$130K - $140K/yr

... simulation, and mapping products. This person will own the pipelines, orchestration, APIs ... Nice To Have - Experience supporting GPU inference workloads, large-model deployment pipelines ...

Showing results 41-60

Modeling And Simulation Engineer information

See Chicago, IL salary details

$40.2K

$127.1K

$196.2K

How much do modeling and simulation engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for modeling and simulation engineer in Chicago, IL is $127,119.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,800.00 and $150,900.00 per year, depending on experience, location, and employer.

What is a modeling and simulation engineer?

Modeling and Simulation Engineers are professionals who use mathematical models and computer simulations to analyze complex systems and predict their behavior. They work in various industries, including aerospace, defense, healthcare, and manufacturing, to improve product design, optimize processes, and support decision-making. Their work often involves creating virtual prototypes, running simulations to test different scenarios, and interpreting results to provide insights for engineering projects. These engineers typically have strong backgrounds in mathematics, physics, and computer science.

What are some common challenges a modeling and simulation engineer faces when integrating new models into existing systems?

A common challenge for Modeling and Simulation Engineers is ensuring that new models are compatible with existing simulation frameworks and data sources. This often involves resolving discrepancies in data formats, model fidelity, and simulation timing, as well as validating that the integrated system produces accurate and reliable results. Collaboration with software developers, data analysts, and subject matter experts is essential to troubleshoot integration issues and maintain system performance. Effective communication and thorough documentation are key to overcoming these integration hurdles.

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

To thrive as a Modeling and Simulation Engineer, you need a strong background in mathematics, physics, computer science, and engineering principles, typically supported by a relevant degree. Proficiency with simulation software (such as MATLAB, Simulink, or ANSYS), programming languages (like Python or C++), and sometimes certifications in modeling tools are highly valued. Analytical thinking, problem-solving, and effective communication are essential soft skills for translating complex systems into accurate models and collaborating with multidisciplinary teams. These skills are crucial for ensuring the accuracy, reliability, and usability of simulations that inform critical engineering decisions.

What is the difference between Modeling And Simulation Engineer vs Systems Engineer?

AspectModeling And Simulation EngineerSystems Engineer
CredentialsBachelor's or Master's in Engineering, Computer Science, or related fields; certifications like INCOSEBachelor's or Master's in Engineering, Systems Engineering, or related fields; certifications like INCOSE
Work EnvironmentDesigning and developing simulation models, testing scenarios in labs or software environmentsIntegrating system components, coordinating across engineering teams, often in project offices
Industry UsageDefense, aerospace, automotive, and manufacturing sectorsDefense, aerospace, IT, and complex system development industries

While both roles require engineering backgrounds and similar certifications, Modeling And Simulation Engineers focus on creating and testing simulation models, whereas Systems Engineers oversee the integration and functionality of entire systems. Both collaborate closely but serve different specialized functions within engineering projects.

What are popular job titles related to Modeling And Simulation Engineer jobs in Chicago, IL? For Modeling And Simulation Engineer jobs in Chicago, IL, the most frequently searched job titles are:
What cities near Chicago, IL are hiring for Modeling And Simulation Engineer jobs? Cities near Chicago, IL with the most Modeling And Simulation Engineer job openings:
Infographic showing various Modeling And Simulation Engineer job openings in Chicago, IL as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $127,119 per year, or $61.1 per hour.

Senior Wireless DSP/PHY Algorithm Engineer

ISCO International LLC

Schaumburg, IL โ€ข On-site

$103K - $141K/yr

Other

Re-posted 9 days ago


Job description

Position Description
ISCO is seeking a Senior Wireless DSP / PHY Algorithm Engineer to research, design, and develop advanced signal processing algorithms for 5G wireless communication systems and infrastructure.
This role focuses on the development of algorithms for 5G wireless communication systems, including interference detection and mitigation, RF signal conditioning, and advanced PHY-layer receiver processing. In this role, you will develop MATLAB-based models of wireless systems, analyze real-world time-domain IQ signals, and design algorithms that improve receiver performance in challenging interference environments.
The work spans multiple stages of the wireless signal processing chain, including digital front-end (DFE) processing in radios as well as advanced PHY-layer receiver algorithms implemented in baseband units. Work includes algorithm development for both time-domain signal processing and OFDM receiver processing, including equalization, combining, and interference-aware detection techniques. This includes the development and evaluation of receiver algorithms such as MRC, IRC, MMSE-based equalization, and interference-aware combining methods for multi-antenna OFDM systems. Algorithms may be implemented in FPGAs or software.
This position spans the full innovation lifecycle, including research, invention of new signal processing algorithms, modeling, simulation, laboratory validation, and product deployment. The role involves close collaboration with RF, FPGA, and software teams to transition algorithms from concept into deployed telecom products.
This role is ideal for someone who enjoys inventing and developing novel signal processing techniques, creatively adapting existing algorithms to address challenging interference environments, and translating advanced receiver algorithms into practical wireless infrastructure solutions.
Education/Experience
MSEE or PhD in Electrical Engineering with emphasis on digital signal processing and wireless communication systems.
5-7+ years of experience developing signal processing algorithms for wireless communication systems in a product development environment.
Required Skills
1. Must have demonstrated expertise in DSP algorithm modeling and development using MATLAB for 5G wireless communication systems. Proficiency with MATLAB and its toolboxes is required.
2. Experience developing DSP algorithms including either radio Digital Front-End (DFE) signal processing or baseband PHY-layer receiver algorithms.
3. For candidates with radio DSP experience, hands-on experience implementing radio digital signal processing techniques, such as digital filtering, crest factor reduction, digital predistortion, and digital upconversion/downconversion.
4. For candidates with baseband PHY experience, strong understanding of OFDM receiver processing, including channel estimation, equalization, MIMO detection, and combining techniques such as MRC, IRC, and MMSE.
5. Familiarity with wireless system concepts including RF propagation, MIMO systems, beamforming, channel modeling, OFDM modulation/demodulation, and practical RF front-end considerations in 5G radio systems.
6. Experience using and developing system-level and link-level simulations for 5G receiver algorithms is desired.
7. Familiarity with software implementation of signal processing algorithms, and awareness of practical implementation considerations such as fixed-point modeling or FPGA-based implementations.
8. Experience working with RF test equipment or laboratory validation of wireless systems, such as spectrum analyzers, signal generators, network analyzers, or similar instrumentation.
9. Good communication skills. Able to clearly and concisely communicate with team members, sales team, customers and management on issues concerning designs and other business issues.
10. Experience with patent disclosures and filings is a plus and will be part of the job.
Additional Requirements
Occasional domestic travel in support of customer meetings or product trials is required. Travel is estimated at about 10% of the time.
Since ISCO makes equipment for cellular operators and cellular networks operate 24/7, on rare occasions some work (particularly during product trials) may have to be performed during off hours between 12am - 4 am or weekends.
Location
This position is at ISCO headquarters in Schaumburg, IL. Remote candidates are also strongly considered given the right set of skills and experience.
Residency Requirement
Reporting
Reports to Vice President - Engineering