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Model Systems Engineering Jobs in California (NOW HIRING)

L3HHCM20

$106.50K - $197.50K/yr

Candidates interested in applying for this position should have a background in systems engineering and an understanding of Model Based Systems Engineering (MBSE). This role demands meticulous ...

L3HHCM20

$80.50K - $149.50K/yr

Candidates interested in applying for this position should have a background in systems engineering and an understanding of Model Based Systems Engineering (MBSE). This role demands meticulous ...

SAIC

Systems Engineer - Modeler

Beale Air Force Base, CA · Hybrid

$120K - $160K/yr

Engineering and Sciences Subcategory: Systems Engineer Schedule: Full-Time Shift: Day Job Travel ... Manage model repositories, versioning, and configuration in TWC; generate model artifacts (OVs, UAF ...

SAIC

Systems Engineer - Modeler

Beale Air Force Base, CA · Hybrid

$120K - $160K/yr

Engineering and Sciences Subcategory: Systems Engineer Schedule: Full-Time Shift: Day Job Travel ... Manage model repositories, versioning, and configuration in TWC; generate model artifacts (OVs, UAF ...

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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.

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 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 California? For Model Systems Engineering jobs in California, the most frequently searched job titles are:
What job categories do people searching Model Systems Engineering jobs in California look for? The top searched job categories for Model Systems Engineering jobs in California are:
What cities in California are hiring for Model Systems Engineering jobs? Cities in California with the most Model Systems Engineering job openings:
Model Systems Engineering jobs near you
Principal Engineer, Systems (R5048)

Principal Engineer, Systems (R5048)

Shield AI

San Diego, CA

$200K - $300K/yr

Full-time

Posted 10 days ago

Job description

Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:

Shield AI's Hivemind Platform organization is seeking a Principal Systems Engineer to lead and scale systems engineering excellence across our software-intensive, autonomy-driven platform. This role sits within the Systems Engineering, Integration, and Test (SEIT) organization and is responsible for advancing systems engineering discipline, rigor, and cross-functional alignment across the full lifecycle, from requirements definition through architecture, verification, and assurance.

This individual will play a critical role in shaping how complex autonomous system development capabilities are specified, architected, and validated, with a strong emphasis on model-based systems engineering (MBSE), requirements traceability, and integration of system assurance (including safety) into system design.

What You'll Do:
  • Systems Engineering Discipline Leadership: Drive the adoption and enforcement of systems engineering best practices across the organization, serving as a technical authority and trusted partner to engineering leadership.
  • Requirements Management & Traceability: Lead the development of structured, testable, and fully traceable system requirements, ensuring end-to-end linkage across architecture, verification, and implementation.
  • Architecture Definition: Define and maintain system architectures using MBSE methodologies and tools (e.g., Cameo), promoting model-centric engineering for system understanding and decision-making.
  • Verification & Validation Planning: Establish comprehensive, executable verification strategies aligned with system requirements and operational use cases, supporting integration and test efforts.
  • System Assurance Integration: Integrate system safety and security assurance considerations into requirements, architecture, and verification to support mission assurance and compliance objectives.
  • Cross-Functional Collaboration: Partner with software architects, product teams, test engineers, and engineering leadership to align system-level decisions/execution across the organization and bridge between SEIT and the broader engineering organization.
Key Outcomes:
  • End-to-End Requirements Traceability Established: System requirements are consistently structured, testable, and fully traceable across architecture, implementation, and verification artifacts.
  • MBSE Adoption at Scale: Model-based systems engineering is broadly adopted, with system architecture and interfaces defined and maintained in a shared, authoritative model.
  • System Assurance Integrated Early: System safety and assurance considerations are embedded in requirements and architecture upfront, reducing late-stage risk and rework.
  • Cross-Functional System Alignment Achieved: Software, product, and Integration & Test teams operate with a clear, shared understanding of system architecture, interfaces, and constraints.
  • Systems Engineering Rigor and Process Maturity Improved: Standardized processes, tools, and artifacts are in place and consistently used across teams, improving quality, predictability, and scalability.
Required Qualifications:
  • 15+ years in Systems Engineering, Architecture, or technical leadership roles
  • Experience in defense or aerospace, ideally with software-intensive unmanned aircraft systems (UAS)
  • Strong background in traceable requirements development, system architecture and interface definition, and V&V planning
  • Hands-on experience with MBSE tools (Cameo Systems Modeler or equivalent) and SysML
  • Proven ability to lead engineering discipline across teams and influence technical direction
  • Bachelor's degree in engineering or related field
Preferred Qualifications:
  • Experience integrating system safety and assurance practices into engineering workflows
  • Familiarity with certification standards such as MIL-HDBK-516C and CMMC/NIST SP 800-53
  • Advanced degree in engineering or related field
$200,000 - $300,000 a year
#LI-DM2
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Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity

Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)

Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.

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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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