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Model Based System Engineer Jobs in Bridgewater, NJ

We're hiring a System Engineer to help drive that shift. You'll operate and harden the current ... Based on a 9-5 ET schedule, but realistic about infrastructure work: occasional after-hours or ...

Software Engineer - Model Products

New York, NY ยท On-site

$180K - $360K/yr

This work spans distributed systems, model serving, and developer experience. You'll join a small, highโ€‘impact team operating at the intersection of product, model performance, and infra, helping ...

Systems Engineer

Whippany, NJ ยท On-site

$110K - $160K/yr

... through system modeling/simulation methods. In this role, you would typically: * Lead system ... Lead internal system design decisions based on customer requirements and coordinate electrical ...

Thermodynamic Model Developer Location: Parsippany, NJ Join Our Innovative Team: At OLI Systems, w ... systems, and cloud-based analytics are crafting new benchmarks in the industry. Why You're Vital to ...

Showing results 41-60

Model Based System Engineer information

See Bridgewater, NJ salary details

$54.7K

$130K

$170.7K

How much do model based system engineer jobs pay per year?

As of Sep 15, 2026, the average yearly pay for model based system engineer in Bridgewater, NJ is $130,043.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,200.00 and $160,500.00 per year, depending on experience, location, and employer.

What is a model based system engineer?

A Model Based System Engineer (MBSE) is a professional who uses modeling techniques and tools to design, analyze, and manage complex systems throughout their lifecycle. Instead of relying solely on traditional document-based methods, MBSE professionals create digital models that represent the structure, behavior, and requirements of systems. This approach helps improve understanding, communication, and traceability among stakeholders, leading to more efficient and reliable system development. MBSE is commonly used in industries like aerospace, automotive, defense, and healthcare to manage complex engineering projects.

What are the key skills and qualifications needed to thrive as a model based system engineer, and why are they important?

To thrive as a Model Based System Engineer, you need a solid background in systems engineering principles, requirements analysis, and modeling languages like SysML, often supported by a degree in engineering or computer science. Proficiency with modeling tools such as IBM Rhapsody, MagicDraw, or MATLAB/Simulink, and familiarity with systems engineering standards like INCOSE certification, are typically required. Strong analytical thinking, effective communication, and problem-solving abilities are key soft skills in this role. These skills ensure efficient system design, clear stakeholder communication, and successful integration of complex systems in multidisciplinary environments.

How does a model based system engineer typically collaborate with cross-functional teams during a project lifecycle?

Model Based System Engineers work closely with multidisciplinary teams, including software developers, hardware engineers, and project managers, to ensure system models accurately reflect requirements and constraints. They often facilitate communication by translating complex system behaviors into visual models that are easily understood by all stakeholders. Throughout the project lifecycle, they participate in design reviews, update models based on team feedback, and help validate that the final system meets its intended functionality. This collaborative approach helps reduce misunderstandings and streamlines the integration of various subsystems.

What is the difference between Model Based System Engineer vs Systems Engineer?

AspectModel Based System EngineerSystems Engineer
CredentialsTypically requires systems engineering certifications, knowledge of modeling toolsOften holds a bachelor's or master's in engineering, with certifications like INCOSE
Work EnvironmentFocuses on system modeling, simulation, and design using specialized toolsInvolves system integration, testing, and requirements management
Industry UsageCommon in aerospace, defense, automotive, and complex systems industriesWidely used across IT, manufacturing, and engineering sectors

While both roles require strong engineering backgrounds, Model Based System Engineers specialize in creating and analyzing system models to optimize design, whereas Systems Engineers focus on integrating and managing entire systems throughout their lifecycle.

What cities near Bridgewater, NJ are hiring for Model Based System Engineer jobs?

Cities near Bridgewater, NJ with the most Model Based System Engineer job openings:

Systems Engineer

New York, NY โ€ข On-site

GLG
Library and Information Servicesย โ€ขย 1 - 5K employees

Full-time

Re-posted 7 days ago


Job description

Our Systems Engineering team owns the infrastructure that keeps a ~2,500-person global firm running around the clock: cloud (primarily AWS), Microsoft 365, Windows Server, identity platforms (Entra ID, Active Directory, SailPoint), and enterprise email flow. We are in the middle of a deliberate shift from click-ops to modern engineering practice: infrastructure as code, version control, CI/CD, cloud infrastructure, least-privilege identity, and AI-assisted workflows.ย 

We're hiring a System Engineer to help drive that shift. You'll operate and harden the current stack while actively replacing manual, one-off work with automation and repeatable, reviewable process. We're looking for a DevOps/SRE mindset: someone who sees a manual runbook and wants to turn it into code, contributes to technical standards, and uses AI to move faster than the team could before.ย 

Just as important, we want someone who questions why things are the way they are. Much of our stack was inherited; some of it is legacy or dependent on one person's knowledge. You should be comfortable looking at an established design, asking whether there's a better way, and making the case for change, grounded in a clear-eyed read of the pros, cons, and migration trade-offs, not change for its own sake.ย 

This is a broad remit: identity and access, email flow, cloud, and core infrastructure. We're not expecting you to arrive an expert in every one. We are looking for someone comfortable stepping into each area, learning fast, and growing into full ownership over time.ย 

What you'll doย 

  • Automate and operate core infrastructure across AWS, Microsoft 365, and Windows Server, with reliability, security, and least privilege as defaults.ย 
  • Engineer identity and access across our identity platforms (Entra ID, Active Directory / Domain Controllers, and SailPoint), including provisioning, governance, and least-privilege models on-prem and in the cloud.ย 
  • Own and improve enterprise email flow: Exchange Online, our secure email gateway, and email authentication (SPF, DKIM, DMARC) across first- and third-party sending platforms.ย 
  • Evaluate inherited architecture and legacy tooling, ask why it works the way it does, and propose better approaches, backed by honest pros, cons, and migration trade-offs.ย 
  • Contribute to the move to infrastructure as code: build and maintain declarative infrastructure (our stack is OpenTofu and Spacelift) so environments are version-controlled, peer-reviewed, and reproducible.ย 
  • Put your infrastructure and automation under version control (Git), and work in a pull-request review and CI/CD workflow.ย 
  • Support and extend our cloud footprint across AWS and Azure, including networking, identity, and workload migration.ย 
  • Participate in operational coverage and incident response for a 24/7 business spanning the world, then help write the postmortems and automate the fix so it doesn't recur.ย 
  • Use AI to troubleshoot, script, document, and design faster, and share what works with the team.ย 
  • Help raise the bar on security, reliability, documentation, and repeatability through code review and collaboration.ย 

What we're looking forย 

  • 3-5 years in systems / infrastructure / platform / SRE engineering.ย 
  • A DevOps/SRE mindset: you reach for automation and repeatable process over manual, one-off work, and can point to click-ops you've replaced (or want to replace) with code.ย 
  • You ask "why do we do it this way?" and push for something better, but you're honest about the trade-offs and know when a change is worth the effort and when it isn't.ย 
  • Solid scripting and automation skills (PowerShell and Bash required; Python, Javascript or similar a plus).ย 
  • Exposure to infrastructure as code (Terraform, Ansible, OpenTofu, etc.), and comfort (or eagerness to grow) working in Git with pull-request-based review.ย 
  • Strong working knowledge of the Microsoft ecosystem: Microsoft 365 and Windows Server.ย 
  • Comfort with identity platforms and identity security: Entra ID and Active Directory required; SailPoint or another identity governance tool a plus.ย 
  • Familiarity with enterprise email flow: Exchange Online, secure email gateways (e.g. Mimecast), and email authentication (SPF, DKIM, DMARC), or a strong foundation to grow into it.ย 
  • Cloud experience in AWS and/or Azure, including networking, identity, and core services. AWS is our primary platform.ย 
  • Networking fundamentals (DNS, DHCP, TCP/IP, VPN, firewalls).ย 
  • A security-first, least-privilege mindset.ย 
  • Curiosity about using AI tools to work faster and better.ย 
  • Clear communicator who collaborates well across a distributed team.ย 
  • Based on a 9-5 ET schedule, but realistic about infrastructure work: occasional after-hours or weekend maintenance windows and releases, a shared on-call rotation, and some flexibility to coordinate across US, European, and Indian time zones.ย 

Nice to haveย 

  • Relevant certifications (AWS, Azure, SailPoint, Microsoft).ย 
  • CI/CD pipeline experience (GitHub Actions, AWS CodePipeline, or similar).ย 
  • Containers and orchestration (Docker, AWS ECS).ย 
  • Monitoring and observability tooling.ย 
  • Experience modernizing a traditional ops team.ย 

Why this roleย 

You'll be part of modernizing how a global firm runs its infrastructure, with real mandate and support to replace manual work with engineering. If you want to build automation, grow your DevOps/SRE skills, and push the frontier of AI-assisted operations rather than maintain the status quo, this is a place to do it. We invest in a learning, collaborative culture, and this role has room to grow.