Digital Engineer / MBSE Analyst

Peraton; Seal Beach (CA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Heavily subsidized benefits coverage

25 days PTO

Bonus plan eligibility

Job summary

Peraton in Seal Beach, CA seeks a Digital Engineer / MBSE Analyst to lead digital‑twin planning, development, and integration for a national security program.

You will shape architectures, model‑based artifacts, and interoperability strategies to ensure aligned, verifiable solutions across the system landscape, while collaborating with engineering and program teams to meet mission goals.

Qualifications

• Requires minimum of Associate degree with 7+ years in Systems Engineering OR Bachelor’s in CS/CE/Cloud Computing with 5+ years experience OR Master’s in CS/CE/Cloud Computing with 3+ years experience; additional four years of relevant experience allowed in lieu of a degree.
• Candidate must hold Top Secret clearance and be able to upgrade to TS/SCI; must maintain clearance.
• 2+ years MBSE experience in complex system environments.
• Experience across full system lifecycle: analysis, planning, design, development, deployment, integration, testing, or software configuration.
• Expertise using the Cameo Systems Modeler suite of tools.
• Willingness to travel up to 25% to support business needs.

Responsibilities

• Lead technical planning and execution of digital‑twin efforts for program objectives.
• Develop digital‑twin concepts, architectures, use cases, and roadmaps with engineering teams.
• Adapt Peraton Labs’ agentic AI and digital‑twin capabilities to program needs.
• Define component-level requirements from operational needs and system objectives.
• Ensure model interoperability, data-exchange patterns, and integration guidance across environments.
• Collaborate with data, AI/ML, software, and systems‑engineering teams on data sources and validation methods.
• Identify technical risks, dependencies, sequencing, and capability gaps in digital‑twin development.
• Align digital‑twin efforts with MBSE practices and CTO analytics initiatives.

Skills

MBSE

Cameo Systems Modeler

System integration

Travel 25%

Security Clearance TS/SCI

Education

Associate’s degree in related field

Bachelor’s degree in CS/CE/Cloud Computing or related field

Master’s degree in CS/CE/Cloud Computing or related field

Tools

Cameo Systems Modeler

Job description

Required Qualifications:

• Associates degree and 7+ years of experience in a Systems Engineering related field; OR bachelor’s degree in Computer Science, Computer Engineering, Cloud Computing, or related field and 5+ years of experience in a Systems Engineering related field; OR a master's degree in Computer Science, Computer Engineering, Cloud Computing, or related field and 3+ years of experience in a systems engineering related field. Additional four (4) years of relevant experience will be considered in lieu of a degree
• This position requires the candidate possess a minimum of Top Secret clearance with ability to upgrade to TS/SCI. The candidate must maintain the clearance
• 2+ years of experience applying MBSE in complex system environments.
• Experience developing and supporting systems‑engineering processes across the full system lifecycle, including analysis, planning, design, development, deployment, integration, testing, or configuration of software.
• Expertise using the Cameo Systems Modeler suite of tools.
• Willingness to travel up to 25% to support business needs and key stakeholder engagement

Desired Qualifications:

• Experience with MBSE validation suites.
• Experience generating documents or specifications directly from MBSE models.
• Experience with MBSE model federation.
• Experience developing MBSE style guides or modeling standards.

Benefits:

Peraton offers enhanced benefits to employees working on this critical National Security program, which include heavily subsidized employee benefits coverage for you and your dependents, 25 days of PTO accrued annually up to a generous PTO cap and eligible to participatein an attractive bonus plan

• heavily subsidized employee benefits coverage for you and your dependents
• 25 days of PTO accrued annually up to a generous PTO cap
• eligible to participatein an attractive bonus plan

Peraton is delivering advanced mission planning, digital engineering, and command‑and‑control capabilities supporting the U.S. Government’s space communications enterprise. Our team uses modern MBSE practices to translate mission needs into precise, traceable, and verifiable technical requirements across a complex, multi‑system environment.

As a Digital Engineer / MBSE Analyst, you will support the technical planning, development, and integration of digital‑twin capabilities that advance program goals and mission outcomes. You will help shape concepts, architectures, and model‑based engineering artifacts that ensure digital‑twin solutions are aligned, interoperable, and technically sound across the broader system landscape.

What you’ll do:

• Help lead technical planning and execution of digital‑twin efforts in support of program objectives.
• Support the development of digital‑twin concepts, architectures, use cases, and technical roadmaps in collaboration with engineering and program teams.
• Assist in adapting Peraton Labs’ agentic AI and digital‑twin capabilities to meet program‑specific needs.
• Define component‑level requirements derived from operational needs, systems‑engineering objectives, system behaviors, and stakeholder priorities.
• Ensure compliance with model‑interoperability approaches, data‑exchange patterns, fidelity expectations, and integration guidance across digital‑twin and simulation environments.
• Work with data, AI/ML, software, and systems‑engineering teams to identify and integrate required data sources, dependencies, model inputs and outputs, assumptions, and validation methods.
• Identify technical risks, dependencies, sequencing concerns, integration challenges, and capability gaps associated with digital‑twin development.
• Ensure digital‑twin efforts remain aligned with program objectives, Model‑Based Systems Engineering practices, CTO advanced‑analytics initiatives, and stakeholder needs.