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Model Systems Engineering Jobs in Madison, WI (NOW HIRING)

Teaching Faculty

Madison, WI · On-site

$70K/yr

The Department of Industrial and Systems Engineering at the University of Wisconsin-Madison invites ... Assists in developing techniques and/or model programs for carrying out instructional goals in ...

Senior AI/ML Engineer

Watertown, WI

$99K - $136K/yr

Strong experience working with complex data, including distributed systems, inconsistent schemas and incomplete or legacy datasets. * Experience with feature engineering, model selection ...

Java Developer

Madison, WI · On-site

$51.50 - $66.50/hr

TrafficCast International, Inc., ( a leading company in digital traffic information and service provision in Madison, WI, is seeking mid level Java developer(s) to enhance traffic modeling system ...

Java Developer

Madison, WI

$51.50 - $66.50/hr

TrafficCast International, Inc., ( a leading company in digital traffic information and service provision in Madison, WI, is seeking mid level Java developer(s) to enhance traffic modeling system ...

To support this growth, we are evolving from a fragmented, site-based model toward a more unified and scalable engineering system-improving speed, quality, and repeatability while maintaining ...

... systems. This role will focus on a discipline (Plumbing, Electrical, or Mechanical) while also ... Possess an understanding of drawing and modeling organization, detail, and precision.

... by engineering teams. This role will be focused on embedding LLMs, agent-based systems, and ... Model Context Protocol (MCP) & Backen d * Develop and maintain scalable APIs, supporting ...

Showing results 21-40

Model Systems Engineering information

See Madison, WI salary details

$53.9K

$128.2K

$168.3K

How much do model systems engineering jobs pay per year?

As of Aug 16, 2026, the average yearly pay for model systems engineering in Madison, WI is $128,185.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,700.00 and $158,200.00 per year, depending on experience, location, and employer.

What is model systems engineering?

Model Systems Engineering is an interdisciplinary approach that uses models to support the design, analysis, and management of complex engineering systems. It involves creating abstract representations (models) of systems to better understand their behavior, requirements, and interactions throughout the system's lifecycle. This approach helps engineers identify potential problems early, optimize system performance, and ensure that the final product meets its intended goals. Model Systems Engineering is widely used in industries such as aerospace, automotive, defense, and software engineering.

How does a model systems engineer typically collaborate with cross-functional teams during a project's lifecycle?

As a Model Systems Engineer, you will frequently work alongside software developers, hardware engineers, project managers, and quality assurance specialists to ensure that system models accurately reflect project requirements and constraints. Collaboration often involves participating in design reviews, integrating feedback, and updating system models to accommodate changes in project scope. Effective communication and the ability to translate technical details between different teams are crucial, as your models serve as the foundation for development and decision-making throughout the project. This collaborative environment fosters both technical and interpersonal growth, allowing you to develop a holistic understanding of complex systems.

What are the key skills and qualifications needed to thrive as a model systems engineer, and why are they important?

To thrive as a Model Systems Engineer, you need a strong background in systems engineering principles, mathematical modeling, and often a relevant degree in engineering or computer science. Familiarity with modeling tools like MATLAB/Simulink, SysML, and simulation software, as well as knowledge of systems engineering standards such as INCOSE certification, is typically required. Critical thinking, problem-solving abilities, and effective communication skills set standout professionals apart in this field. These competencies ensure accurate system representations, effective collaboration, and successful project outcomes in complex engineering environments.

What is the difference between Model Systems Engineering vs Systems Engineer?

AspectModel Systems EngineeringSystems Engineer
Required CredentialsBachelor's or higher in engineering, certifications in systems modeling (e.g., INCOSE)Bachelor's or higher in engineering or related field, certifications vary
Work EnvironmentDesign and develop system models, simulations, and architectureDesign, analyze, and optimize complex systems in various industries
Employer & Industry UsagePrimarily in aerospace, defense, and systems integration firmsWidely across technology, manufacturing, aerospace, and defense sectors

Model Systems Engineering focuses on creating detailed system models and simulations to analyze system behavior, while Systems Engineers oversee the entire system lifecycle, ensuring integration and functionality. Both roles require similar credentials but differ in scope and daily tasks.

What are popular job titles related to Model Systems Engineering jobs in Madison, WI?

For Model Systems Engineering jobs in Madison, WI, the most frequently searched job titles are:

What job categories do people searching Model Systems Engineering jobs in Madison, WI look for?

The top searched job categories for Model Systems Engineering jobs in Madison, WI are:

Full-time

Re-posted yesterday


Job description

Description

The Poss group utilize zebrafish, and, occasionally, mice as model systems to study regeneration of tissues like heart muscle, kidney, spinal cord, and appendages. The primary focus of this position is regeneration research with duties involving (but not limited to) molecular biology, histology, surgeries, microinjection, and imaging and analysis, with opportunities for co-authorships on published manuscripts. There also will be some animal husbandry and general lab responsibilities. Training will be provided by the laboratory. We welcome ambitious applicants with enthusiasm for regenerative biology and for working with research zebrafish.


Primary Responsibilities:

Performing molecular biology, including making DNA constructs

Generating mutant or transgenic zebrafish by microinjection

Breeding, some husbandry, and genotyping of zebrafish 

Preparing chemicals, reagents, and solutions for general laboratory use

Operating laboratory equipment required for specific assays

Reviewing laboratory methods manuals, scientific journals, abstracts, and other literature for information applicable to research experiments

Assisting in training new personnel

Obtain, prepare, mount, and stain tissue for microscopic examination.

Data collection and imaging from experimental samples

Compiling, analyzing, and documenting results from experimental data, and drawing conclusions from experimental results

   Additional miscellaneous duties as required

Requirements

To perform this job successfully, an individual must be able to perform each primary duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the primary duties.


Education and Experience:

Minimum Bachelor's degree in biology, zoology, or other directly related scientific field

2 years or more of post-bachelor experience in a laboratory research setting is strongly preferred


Knowledge, Skills and Abilities Required:

Strong background in biology or engineering

Training in zebrafish work, molecular biology, and imaging will be provided

Must have the ability to work both independently and part of a dynamic research team

Strong written and oral communication skills are essential

Must have strong organization skills and attention to detail


Working Conditions and Physical Effort:

Standing for long periods of time is required

Work is normally performed in a wet laboratory environment

No or very limited physical effort is required

No or very limited exposure to physical risk

Occasional evening and weekend work