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Internship Digital Twin Jobs (NOW HIRING)

Sr. Software Dev Engineer

Reading, MA · On-site

$129K - $170K/yr

Key job responsibilities - Provide the architectural vision for a digital twin-based, AI-driven ... BASIC QUALIFICATIONS - 5+ years of non-internship professional software development experience - 5+ ...

We're seeking interns who care about outcomes, think in systems, and make data-driven decisions. If ... Lifestyle-to-Sleep Simulation ("Digital Twin"): Create a high-fidelity simulator that models how ...

Junior Software Engineer

Beavercreek, OH · On-site

$80K - $100K/yr

Integrate software with hardware- and software-in-the-loop (HITL and SITL) and digital twin ... internships, co-ops, or academic projects) * Programming experience in C#/C++ or Python

Integrate software with hardware- and software-in-the-loop (HITL and SITL) and digital twin ... internships, co-ops, or academic projects) * Programming experience in C#/C++ or Python

We're seeking interns who care about outcomes, think in systems, and make data-driven decisions. If ... Lifestyle-to-Sleep Simulation ("Digital Twin"): Create a high-fidelity simulator that models how ...

... the reconstructed digital twin. Collaborate & Scale: Work closely with the Simulation and ... hour Our internship hourly rates are a standard pay determined based on the position and your ...

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Internship Digital Twin information

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How much do internship digital twin jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for internship digital twin in the United States is $18.07, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $21.15 per hour, depending on experience, location, and employer.

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

AspectInternship Digital TwinDigital Twin Engineer
CredentialsEnrolled in relevant degree programs, basic understanding of digital twin conceptsBachelor's or master's in engineering, computer science, or related fields; specialized certifications
Work EnvironmentInternship programs, entry-level projects, collaborative teamsFull-time engineering teams, project development, system implementation
Industry UsageTraining, skill development, entry-level exposure in manufacturing, energy, or aerospaceDesigning, developing, and maintaining digital twin systems in industrial sectors

The Internship Digital Twin role is an entry-level position focused on learning and supporting digital twin projects, often within internship programs. In contrast, a Digital Twin Engineer is a specialized professional responsible for creating and managing digital twin systems, requiring more experience and technical expertise. The internship provides foundational exposure, while the engineer role involves advanced development and implementation tasks.

What is an Internship in Digital Twin?

An Internship in Digital Twin involves working with digital replicas of physical assets, systems, or processes to analyze, monitor, and optimize their real-world counterparts. Interns typically assist in designing, developing, and testing digital models using various software tools and data analytics. The role provides hands-on experience in industries such as manufacturing, construction, or urban planning, where digital twins are used to improve efficiency and decision-making. Interns may collaborate with engineers, data scientists, and IT professionals to implement and refine digital twin technologies. This experience helps students and early-career professionals build valuable technical and analytical skills relevant to emerging fields.

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

To thrive as an Internship Digital Twin, you need a solid background in engineering or computer science, with foundational knowledge in data analysis and simulation modeling. Familiarity with tools like CAD software, IoT platforms, and digital twin simulation environments (e.g., Siemens NX, PTC ThingWorx) is highly beneficial. Strong problem-solving, communication, and teamwork skills help you collaborate effectively and convey technical insights. These skills are crucial for accurately modeling real-world systems and contributing to innovative, data-driven solutions in a collaborative environment.

What are some common projects an intern might work on in a Digital Twin internship?

As a Digital Twin intern, you might work on projects such as developing 3D models of physical assets, integrating real-time sensor data, or assisting in simulating system performance under different scenarios. Interns often collaborate closely with engineering, IT, and data science teams to support the creation, testing, and optimization of digital replicas. These projects provide hands-on experience with industry-standard software tools and offer valuable insight into how digital twins enhance operational efficiency and predictive maintenance in sectors like manufacturing, energy, and transportation.
More about Internship Digital Twin jobs
What cities are hiring for Internship Digital Twin jobs? Cities with the most Internship Digital Twin job openings:
What are the most commonly searched types of Digital Twin jobs? The most popular types of Digital Twin jobs are:
What states have the most Internship Digital Twin jobs? States with the most job openings for Internship Digital Twin jobs include:
Infographic showing various Internship Digital Twin job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $37,588 per year, or $18.1 per hour.

Graduate (Year-Round) Internship - Digital Twin Development for Biorefinery Processes

Nrel

Golden, CO

$44K - $71K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 2 days ago


Job description

Posting TitleGraduate (Year-Round) Internship - Digital Twin Development for Biorefinery Processes

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LocationCO - Golden

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Position TypeIntern (Fixed Term)

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Hours Per Week40

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Working at NLRNLR is located at the foothills of the Rocky Mountains in Golden, Colorado is the nation's primary laboratory for energy systems research and development.

Join the National Laboratory of the Rockies (NLR), where world-class scientists, engineers, and experts are accelerating energy innovation through breakthrough research and systems integration. From our mission to our collaborative culture, NLR stands out in the research community for its commitment to an affordable and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable, and cost-effective energy solutions. Our work helps strengthen U.S. industries, support job creation, and promote national economic growth.

At NLR, you'll find a mission-driven environment supported by state-of-the-art facilities, multidisciplinary research teams, and strong collaborations with industry, academia, and other national laboratories. We offer robust professional development opportunities, and a competitive benefits package designed to support your career and well-being.

Job Description

The Integrated Carbon Conversion Processes (ICCP) Group within NREL's Catalytic Carbon Transformation and Scale-Up (CCTS) Center has an opening for a Graduate Internship position. The selected candidate will support senior process engineers, modelers, and data scientists in developing a digital twin for an experimental biological and thermocatalytic conversion platform. The goal of the project is to create a virtual representation of key unit operations, enabling real-time monitoring, dynamic simulation, and predictive analytics for biomass and waste conversion to produce biofuels and bioproducts.

The chosen candidate's responsibilities include:

  • Design and implement process models representing biomass conversion, upgrading, and separation units
  • Integrate sensor data and historical process data into the digital twin architecture
  • Develop simulation tools and dashboards for visualization, control, and scenario analysis
  • Contribute to model validation using pilot-scale data and collaboration on experimental feedback loops
  • Document assumptions, system architecture, and modeling workflows for reproducibility and team collaboration
  • Participate in team meetings and present regular progress updates
  • Contribute toward peer reviewed manuscripts and other technical documentation

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Basic QualificationsMinimum of a 3.0 cumulative grade point average.
Undergraduate: Must be enrolled as a full-time student in a bachelor's degree program from an accredited institution.
Post Undergraduate: Earned a bachelor's degree within the past 12 months. Eligible for an internship period of up to one year.
Graduate: Must be enrolled as a full-time student in a master's degree program from an accredited institution.
Post Graduate: Earned a master's degree within the past 12 months. Eligible for an internship period of up to one year.
Graduate + PhD: Completed master's degree and enrolled as PhD student from an accredited institution.
Please Note:
Applicants are responsible for uploading official or unofficial school transcripts, as part of the application process.
If selected for position, a letter of recommendation will be required as part of the hiring process.
Must meet educational requirements prior to employment start date.

* Must meet educational requirements prior to employment start date.

Additional Required Qualifications
  • The candidate should be currently pursuing or have recently completed a master's degree or be currently enrolled in a Ph.D. program in computational sciences, computational engineering, mechanical engineering, chemical engineering, biological engineering, chemistry, biology, or a related field
  • Experience programming in Python and/or C++
  • Experience modeling chemical reactors (e.g., using Cantera) and integrating with computational fluid dynamics (CFD) frameworks
Preferred Qualifications
  • Experience building techno-economic models using software platforms (e.g., Aspen Plus)
  • Exposure to artificial intelligence/machine learning methods for process optimization or anomaly detection
  • Experience with digital twin platforms (e.g., AnyLogic, TwinCAT, Siemens Xcelerator)
  • Interest in bioprocessing, energy systems, or sustainable technology development.
  • Strong problem-solving, communication, and collaboration skills

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Job Application Submission Window

The anticipated closing window for application submission is up to 30 days and may be extended as needed.

Annual Salary Range (based on full-time 40 hours per week)Job Profile: / Annual Salary Range: $44,500 - $71,200

NLR takes into consideration a candidate's education, training, and experience, expected quality and quantity of work, required travel (if any), external market and internal value, including seniority and merit systems, and internal pay alignment when determining the salary level for potential new employees. In compliance with the Colorado Equal Pay for Equal Work Act, a potential new employee's salary history will not be used in compensation decisions.

Benefits SummaryBenefits include medical, dental, and vision insurance; 403(b) Employee Savings Plan with employer match*; and sick leave (where required by law). NLR employees may be eligible for, but are not guaranteed, performance-, merit-, and achievement- based awards that include a monetary component. Some positions may be eligible for relocation expense reimbursement. Internships projected to be less than 20 hours per week are not eligible for medical, dental, or vision benefits.

* Based on eligibility rules

Badging RequirementNLR is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as required by Homeland Security Presidential Directive 12 (HSPD-12), which includes a favorable background investigation. Intern assignments extending beyond six months will be subject to this requirement.Drug Free Workplace

NLR is committed to maintaining a drug-free workplace in accordance with the federal Drug-Free Workplace Act and complies with federal laws prohibiting the possession and use of illegal drugs. Under federal law, marijuana remains an illegal drug.

If you are offered employment at NLR, you must pass a pre-employment drug test prior to commencing employment. Unless prohibited by state or local law, the pre-employment drug test will include marijuana. If you test positive on the pre-employment drug test, your offer of employment may be withdrawn.

Submission Guidelines

Please note that in order to be considered an applicant for any position at NLR you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application.

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Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.

Reasonable Accommodations

E-Verify www.dhs.gov/E-Verify For information about right to work, click here for English or here for Spanish.

E-Verify is a registered trademark of the U.S. Department of Homeland Security. This business uses E-Verify in its hiring practices to achieve a lawful workforce.