2

Remote Mbse Sysml Cameo Jobs in Rio Rancho, NM (NOW HIRING)

Systems Engineer

Albuquerque, NM · On-site +1

$86K - $198K/yr

Remote Work: Hybrid Job Number: R0246780 Location: Albuquerque,NM,US Share job via: Share Systems ... Generate documents, including auto-generation from MBSE models. * Report changes, trends, and ...

Remote Mbse Sysml Cameo information

See Rio Rancho, NM salary details

$52.7K

$117.3K

$165.5K

How much do remote mbse sysml cameo jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote mbse sysml cameo in Rio Rancho, NM is $117,323.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,300.00 and $134,500.00 per year, depending on experience, location, and employer.

What is a remote MBSE SysML Cameo?

A Remote MBSE SysML Cameo job involves working with Model-Based Systems Engineering (MBSE) methodologies using the Systems Modeling Language (SysML) and the Cameo Systems Modeler tool, all while working remotely. Professionals in this role create, analyze, and manage complex systems models to support system design, requirements, and architecture. They collaborate with engineering teams, often across different locations, to ensure systems are well-documented and meet project specifications. This job requires strong knowledge of MBSE principles, proficiency in SysML modeling, and experience using the Cameo tool.

What are the key skills and qualifications needed to thrive as a remote MBSE SysML Cameo engineer?

To excel as a Remote MBSE SysML Cameo Engineer, you need expertise in systems engineering, model-based systems engineering (MBSE) methodologies, and proficiency in SysML, typically supported by a relevant engineering degree. Familiarity with modeling tools like Cameo Systems Modeler, version control systems, and integration with requirements management platforms is essential. Strong analytical thinking, problem-solving abilities, and effective remote communication skills help professionals stand out in collaborative and distributed environments. These competencies ensure accurate system modeling, streamlined development processes, and efficient collaboration across multidisciplinary teams.

How does a remote MBSE SysML Cameo engineer typically collaborate with distributed teams to ensure model consistency and project alignment?

Remote MBSE SysML Cameo engineers often work closely with multidisciplinary teams spread across various locations, using collaboration tools such as version-controlled model repositories, video conferencing, and shared documentation platforms. Regular virtual meetings and model review sessions help ensure everyone stays aligned on requirements, design decisions, and project milestones. One common challenge is maintaining model consistency, so clear communication protocols and established modeling standards are essential. Effective remote collaboration also involves proactive engagement with stakeholders to clarify requirements and address integration issues early.

What is the difference between Remote Mbse Sysml Cameo vs Remote Systems Engineer?

AspectRemote Mbse Sysml CameoRemote Systems Engineer
CertificationsSysML, UML, MBSE toolsIEEE, PMP, or industry-specific certifications
Work EnvironmentPrimarily modeling and design using SysML/CameoSystems development, integration, and testing
Industry UsageAutomotive, aerospace, defense, and complex systemsVarious industries including tech, aerospace, and manufacturing

Remote Mbse Sysml Cameo specialists focus on model-based systems engineering using SysML tools like Cameo, emphasizing system design and modeling. Remote Systems Engineers have a broader role in designing, developing, and maintaining systems across industries. While both roles require technical expertise, Remote Mbse Sysml Cameo positions are more specialized in modeling, whereas Remote Systems Engineers handle end-to-end system development.

What are popular job titles related to Remote Mbse Sysml Cameo jobs in Rio Rancho, NM?

For Remote Mbse Sysml Cameo jobs in Rio Rancho, NM, the most frequently searched job titles are:

What cities near Rio Rancho, NM are hiring for Remote Mbse Sysml Cameo jobs?

Cities near Rio Rancho, NM with the most Remote Mbse Sysml Cameo job openings:

Infographic showing various Remote Mbse Sysml Cameo job openings in Rio Rancho, NM as of August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 100% Remote job distribution, with an average salary of $117,323 per year, or $56.4 per hour.

Systems Engineer

Booz Allen Hamilton, Inc.

Albuquerque, NM • On-site, Remote

$86K - $198K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Re-posted 13 days ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

11th of 72 rated business consultants


Job description


Remote Work:
Hybrid
Job Number:
R0246780
Location:
Albuquerque,NM,US
Share job via:
Share
Systems Engineer
The Opportunity:
On our team, you will use Model-Based System Engineering methodology and tools to develop digital models and deliver complex DoDAF architecture products for DoD programs, including digital engineering approaches to establish and manage operational and functional baselines in support of follow-on acquisition allocated and product baselines processes and systems development. You'll also work on architecture deliverables for Joint Capability Integration Development System (JCIDS) analysis documents such as Capability Based Assessments (CBA), Initial Capability Documents (ICD), and Capability Documents (CDD), as well as program-level acquisition documentation such as Information Support Plans (ISPs).
You'll perform development of digital models and enterprise-level architecture projects to document capabilities, activities, organizational relationships, and systems. You'll perform analysis of systems to determine and document Net Ready Key Performance Parameter requirements in agreement with the JCIDS manual and Air Force directives. You'll also prepare briefings and reports on digital models, architecture methodology, and results.
What You'll Work On:
  • Identify, analyze, and evaluate complex or highly sensitive systems, policies, and processes related to DoD systems and platforms.
  • Collect and ingest data into integrated digital models.
  • Utilize expertise with DoDAF enterprise architectures to solve complex design, integration, and analytical problems in support of organization, training, and equip functions and JCIDS.
  • Generate documents, including auto-generation from MBSE models.
  • Report changes, trends, and implications regarding design and integration of evolving systems and instrumentation.
  • Prepare briefings and reports on analysis methodology and results.
  • Provide workstream leadership for lower-level employees.

Join us. The world can't wait.
You Have:
  • 5+ years of experience in systems engineering or developing digital MBSE models
  • Experience with DoDAF 2.0 architecture documentation, including a variety of operational viewpoints (OV), capability viewpoints (CV), systems viewpoints (SV), services viewpoints (SvcV), data and information viewpoints (DIV), project viewpoints (PV), and standard viewpoints (StdV)
  • Knowledge of JCIDS architecture requirements for DoD programs and program managers information support plans requirements
  • Knowledge of Unified Modeling Language (UML) or Systems Modeling Language (SysML)
  • Ability to work independently, manage multiple tasks, and interact with clients
  • Ability to lead tasks, project teams, or large complex deliverables that involve facilitation of meetings, working groups, or written and verbal presentation of strategic or analytical findings
  • Ability to travel up to 25% of the time
  • TS/SCI clearance
  • Bachelor's degree in Systems Engineering, Mechanical Engineering, or Computer Engineering
  • OMG-Certified Systems Modeling Professional (OCSMP) level I or II Certification

Nice If You Have:
  • Ability to use digital models, environments, and tools to deliver data-driven analysis and results
  • Master's degree in Systems Engineering preferred; Doctorate degree in Systems Engineering a plus
  • FEAC Green or Black Belt Certification

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,800.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
Not ready to apply? Join our Talent Community and sign up for job alerts.

What Booz Allen Hamilton employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Booz Allen Hamilton logo

About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914