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Model Systems Engineering Jobs in Minnesota (NOW HIRING)

Senior Systems Engineer

Plymouth, MN · On-site

$110K - $150K/yr

Sound knowledge of systems engineering and related areas such as electro-mechanical and software ... system modeling language (SysML or UML) and requirement management tools. * Familiar with ...

Perform the activities associated with the systems engineering of one or more products in various ... system modeling language (SysML or UML) and requirement management tools * Familiar with ...

Perform the activities associated with the systems engineering of one or more products in various ... system modeling language (SysML or UML) and requirement management tools * Familiar with ...

Chart's Cryo Systems Engineering group provides efficient solutions to the development of processes ... Experience with SolidWorks ® CAD modeling software. * Experience with JD Edwards or other ERP and ...

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Model Systems Engineering information

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.

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 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.
What job categories do people searching Model Systems Engineering jobs in Minnesota look for? The top searched job categories for Model Systems Engineering jobs in Minnesota are:
What cities in Minnesota are hiring for Model Systems Engineering jobs? Cities in Minnesota with the most Model Systems Engineering job openings:
GDMS - Signal Processing Systems Engineer

GDMS - Signal Processing Systems Engineer

Beyond SOF

Minneapolis, MN • On-site

$121K - $130K/yr

Full-time

Posted 10 days ago


Job description

Signal Processing Systems Engineer
Experience level: Mid Level
Experience required: 5 Years
Education level: Bachelor's degree
Job function: Engineering
Industry: Defense & Space
Compensation: $121,000 - $130,000
Total position: 1
Relocation assistance: No
Visa : Only US citizens and Greencard holders

COMPANY OVERVIEW:
General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas. Given the nature of our work and who we are, we value trust, honesty, alignment and transparency. We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of purpose. You will also enjoy a flexible work environment where contributions are recognized and rewarded. If who we are and what we do resonates with you, we invite you to join our high performance team!
General Dynamics is an Equal Opportunity/Affirmative Action Employer that is committed to hiring a diverse and talented workforce. EOE/Disability/Veteran.
BASIC QUALIFICATIONS:
Bachelor's degree in systems engineering, a related specialized area or field is required plus a minimum of 5 years of relevant experience; or Master's degree plus a minimum of 3 years of relevant experience. Agile experience preferred.
CLEARANCE REQUIREMENTS:
Department of Defense Secret Clearance is required within a reasonable period of time. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required.
RESPONSIBILITIES FOR THIS POSITION:
General Dynamics Mission Systems has an immediate opening for an Advanced Signal Processing Systems Engineer. This position provides an opportunity to further advance the cutting-edge technology that supports some of our nation's core defense/intelligence services and systems. General Dynamics Mission Systems employees work closely with esteemed customers to develop solutions that allow them to carry out high-stakes national security missions.
REPRESENTATIVE DUTIES AND TASKS:
The Advanced Signal Processing Systems Engineer will analyze, design, develop, and test signal processing systems for General Dynamics Mission Systems engineering efforts. Additional responsibilities include formulating operational concepts (CONOPS); performing mission, functional, and risk analysis; selecting systems architecture; and preparing specifications for General Dynamics Mission Systems operating systems to ensure designs meet applicable specifications.
The Advanced Signal Processing Systems Engineer may also:
Perform requirements analysis, requirements definition, requirements management, functional analysis, performance analysis, system design, detail trade studies, systems integration and test (verification), validation and interface definition studies of subsystem or system elements
Participate in Modeling and Simulation
Perform testing, verification, and validation of radar sensor and signal processing algorithm requirements and performance
KNOWLEDGE SKILLS AND ABILITIES:
  • Knowledge of radar signal processing and analysis.
  • Proficient with MATLAB and C/C++ programming languages
  • RF background with a working knowledge of electronic scanned antennas, receivers, exciters, and digital signal processing
  • Experience specifically in Radar Signal Processing (e.g. design requirements for radar systems, tactical or simulation algorithm prototyping or implementation)
  • Knowledge of hardware and software integration
  • Strong written and verbal communications skills

PREFERRED EXPERIENCE:
  • Working knowledge of sensor modalities (e.g. EO/IT, LIDAR, HSI)
  • Hold active Secret Level DOD Clearance
  • Algorithm profiling and porting
  • Single and multi-processor/core environments
  • Familiar with vector/signal processing libraries
  • Coursework and/or experience with digital signal processing, probability theory, stochastic signal processing, and electromagnetic theory.

PREFERRED DEGREE TYPES:
Bachelor's or Master's degree in Electrical Engineering, Math, Physics, or equivalent