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Digital Twin Engineer Jobs in Alabama (NOW HIRING)

Software Engineer 4

Huntsville, AL · On-site

$75 - $85/hr

... digital twin environments Skills that we are looking for: * Bachelor's degree or higher in Electrical Engineering, Computer Science, Computer Engineering, Systems Engineering, Physics or related STEM ...

New

Exposure to Model-Based Systems Engineering (MBSE) or digital thread / digital twin concepts * Exposure to or direct experience with advanced CAD, CFD, or FEM tools Why This Role The engineers who do ...

Forward Deployed Engineer

Huntsville, AL · On-site

$143K - $165K/yr

Exposure to Model-Based Systems Engineering (MBSE) or digital thread / digital twin concepts > * Exposure to or direct experience with advanced CAD, CFD, or FEM tools > Why This Role The engineers ...

Senior Kinetics DE/CD Engineer

Huntsville, AL · On-site

$131.30K - $237.35K/yr

Apply digital twin concepts. Connecting requirements, design, manufacturing, and sustainment into ... Advanced programming skills in Python and MATLAB for simulation automation and data analysis.

Senior Kinetics DE/CD Engineer

Huntsville, AL · On-site

$99K - $134.50K/yr

Apply digital twin concepts. Connecting requirements, design, manufacturing, and sustainment into ... Advanced programming skills in Python and MATLAB for simulation automation and data analysis.

Group Manager, MS&A

Huntsville, AL · On-site

$108.10K - $108.50K/yr

Assess company strategy and update in consideration of AI-assisted modeling and automated analysis, digital engineering & MBSE, digital twin technology, cloud-based simulation, advanced multi-domain ...

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Showing results 1-20

Digital Twin Engineer information

See Alabama salary details

$73K

$126.3K

$165.4K

How much do digital twin engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for digital twin engineer in Alabama is $126,321.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,300.00 and $123,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Digital Twin Engineer, and why are they important?

To thrive as a Digital Twin Engineer, you need a strong background in systems engineering, data modeling, simulation, and a relevant engineering or computer science degree. Familiarity with digital twin platforms (such as Siemens NX, ANSYS Twin Builder), IoT frameworks, and programming languages like Python or MATLAB is typically required. Strong analytical thinking, problem-solving skills, and the ability to communicate complex technical concepts clearly are crucial soft skills. These competencies enable effective design, monitoring, and optimization of virtual models, ensuring accurate real-time insights for operational decision-making.

What are some common challenges Digital Twin Engineers face when integrating real-time data from physical assets?

Digital Twin Engineers often encounter challenges related to data quality, connectivity, and system interoperability when integrating real-time data from physical assets. Ensuring that sensors and IoT devices reliably provide accurate, timely data can be complex, especially in large-scale or legacy environments. Additionally, aligning data formats and protocols between various systems requires strong problem-solving and collaboration with IT and operations teams. Overcoming these hurdles is crucial for building effective digital twins that deliver actionable insights.

What is a Digital Twin Engineer?

A Digital Twin Engineer is a professional who designs, develops, and maintains digital replicas of physical assets, systems, or processes. These virtual models use real-time data to simulate, predict, and optimize performance, allowing organizations to improve efficiency, detect problems early, and make data-driven decisions. Digital Twin Engineers typically work in industries such as manufacturing, energy, automotive, and smart cities, leveraging technologies like IoT, AI, and simulation software to create and manage digital twins.

What is the difference between Digital Twin Engineer vs Data Engineer?

AspectDigital Twin EngineerData Engineer
Required CredentialsBachelor's in Engineering, Computer Science, or related fields; knowledge of IoT, simulation, and modelingBachelor's in Computer Science, Data Science, or related fields; expertise in databases, ETL, and data pipelines
Work EnvironmentIndustrial settings, manufacturing, IoT platforms, simulation labsData centers, cloud platforms, analytics teams, software development environments
Employer & Industry UsageManufacturing, aerospace, energy, smart citiesTech companies, finance, healthcare, e-commerce

The Digital Twin Engineer focuses on creating virtual replicas of physical assets for simulation and monitoring, often working in industrial environments. In contrast, Data Engineers build and maintain data pipelines and infrastructure to support data analysis across various industries. While both roles require technical skills, their applications and environments differ significantly.

What are popular job titles related to Digital Twin Engineer jobs in Alabama? For Digital Twin Engineer jobs in Alabama, the most frequently searched job titles are:
What cities in Alabama are hiring for Digital Twin Engineer jobs? Cities in Alabama with the most Digital Twin Engineer job openings:
Infographic showing various Digital Twin Engineer job openings in Alabama as of May 2026, with employment types broken down into 48% Full Time, 40% Part Time, 3% Temporary, and 9% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $126,321 per year, or $60.7 per hour.
Digital Engineer

$134K/yr

Full-time

Posted 11 days ago


Job description

MTSI is seeking a highly experienced and knowledgeable Digital Engineer to provide strategic guidance and technical expertise in advancing our organization's digital engineering capabilities. The SME will play a pivotal role in shaping our digital engineering strategy, implementing cutting-edge technologies, and mentoring teams to achieve operational excellence.
Key Responsibilities:
  • Serve as the primary expert and advisor on digital engineering practices, tools, and methodologies.
  • Develop and implement strategies to integrate Model-Based Systems Engineering (MBSE), digital twins, and advanced simulation tools into engineering workflows.
  • Lead the evaluation, selection, and deployment of digital engineering platforms and technologies.
  • Collaborate with cross-functional teams to align digital engineering initiatives with organizational goals.
  • Provide mentorship and training to engineering teams to enhance their digital engineering proficiency.
  • Stay at the forefront of industry trends and emerging technologies to ensure the organization remains competitive.
  • Establish and enforce best practices, standards, and processes for digital engineering.

Qualifications:
  • US citizenship and a secret level security clearance is required.
  • Bachelor's or Master's degree in Engineering, Computer Science, or a related field; PhD preferred.
  • 10+ years of experience in digital engineering, systems engineering, or related discipline.
  • Deep expertise in MBSE tools and frameworks (e.g., Cameo, Enterprise Architect, MATLAB/Simulink).
  • Strong understanding of digital twin technology, data integration, and cloud-based solutions.
  • Proven track record of leading large-scale digital transformation initiatives.
  • Exceptional problem-solving, communication, and leadership skills.

Preferred Skills:
  • Certification in systems engineering (e.g., INCOSE CSEP) or related fields.
  • Experience with Agile development methodologies and DevSecOps practices.
  • Knowledge of cybersecurity principles in digital engineering environments.

This role offers an exciting opportunity to shape the future of digital engineering within our organization. If you are passionate about driving innovation and have the expertise to lead transformative initiatives, we encourage you to apply!
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