Model Based Systems Engineer

Job Title: MBSE Systems EngineerJob Description

We are seeking a dedicated Systems Engineer to support Department of Defense (DoD) embedded systems programs. The primary focus will be on Model-Based Systems Engineering (MBSE), ensuring requirements traceability and compliance. This role involves working with hardware, software, and government documentation within structured engineering environments, translating technical documentation into system models to support Contract Data Requirements List (CDRL) deliverables.

Responsibilities

• Develop and maintain system models using MBSE and SysML methodologies.

• Perform requirements traceability and verification across system artifacts.

• Interpret hardware and software documentation and translate them into system models.

• Support CDRL deliverables through structured modeling and documentation.

• Ensure alignment with DoD standards such as NIST 800-53, CMFF, and NSA Raise-the-Bar.

• Maintain system architecture and compliance documentation.

• Collaborate with software, hardware, and program teams to ensure project success.

• Support system integration and validation efforts.

• Participate in technical reviews and planning activities.

Essential Skills

• Active DoD Secret Clearance is mandatory.

• Bachelor's degree in Systems, Electrical, Computer Engineering, or related field.

• 3-5+ years of systems engineering experience.

• Strong experience with MBSE methodologies.

• Experience with requirements traceability in DoD environments.

• Ability to translate technical documentation into system models.

• Understanding of computer hardware systems and architecture.

• Familiarity with TCP/IP and distributed systems.

• Experience with Git-based version control.

• Strong communication and teamwork skills.

Additional Skills & Qualifications

• Experience with DoD standards such as NIST, CMFF, SOSA, FACE.

• Military or defense program experience.

• Experience with RTI Connext DDS or Pub/Sub architectures.

• Exposure to embedded programming using C++ and Python, as well as Docker.

• Familiarity with Intel and Xilinx hardware platforms.

• Experience supporting CDRLs.

Work Environment

This position is based onsite in Grand Rapids, MI, within a Sensitive Compartmented Information Facility (SCIF).

Job Type & Location

This is a Contract position based out of Grand Rapids, MI.

Pay and Benefits

The pay range for this position is $45.00 - $80.00/hr.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: - Medical, dental & vision - Critical Illness, Accident, and Hospital - 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available - Life Insurance (Voluntary Life & AD&D for the employee and dependents) - Short and long-term disability - Health Spending Account (HSA) - Transportation benefits - Employee Assistance Program - Time Off/Leave (PTO, Vacation or Sick Leave)

Workplace Type

This is a fully onsite position in Grand Rapids,MI.

Application Deadline

This position is anticipated to close on Jun 4, 2026.

About Actalent

Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email View email address on click.appcast.io for other accommodation options.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.