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Digital Twin Engineer Jobs in Spring, TX (NOW HIRING)

EDG Inc

Sr. Project Manager

Houston, TX · On-site

Qualifications (Knowledge, Skills and Abilities): • Bachelor's degree in Chemical Engineering ... digital twin, and asset performance management markets; • Experience managing mid to large-scale ...

Schlumberger Limited

BIM Technical Manager

Houston, TX · On-site

$90 - $130/hr

Operations (Engineers, Geoscience, Specialists, Operators) Come join us at SLB New Energy ... Evaluate and implement BIM/VDC tools and emerging technology (reality capture, digital twin ...

Aveva

Account Manager

Houston, TX · Hybrid

$71K - $118K/yr

... engineering and process data as a unified digital twin. You will focus on meeting sales goals while delivering value-driven solutions to new and existing accounts. Key Responsibilities: * New ...

The Powell Company

CAM Machinist

Houston, TX · On-site

$25.25 - $34.50/hr

You must know how to setup and run twin spindle upper turret multi-tasking lathes and 3 and 5-axis ... and digital manufacturing tools * Extensive hands-on experience in CNC programming, with ...

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All JobsDigital Twin Engineer JobsDigital Twin Engineer Jobs in Spring, TX

Digital Twin Engineer information

See Spring, TX salary details

$74.1K

$128.3K

$168K

How much do digital twin engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for digital twin engineer in Spring, TX is $128,328.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,200.00 and $125,200.00 per year, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a digital twin engineer?

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 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 Spring, TX?

For Digital Twin Engineer jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Digital Twin Engineer jobs in Spring, TX look for?

The top searched job categories for Digital Twin Engineer jobs in Spring, TX are:

What cities near Spring, TX are hiring for Digital Twin Engineer jobs?

Cities near Spring, TX with the most Digital Twin Engineer job openings:

Digital Twin Engineer jobs near you
Infographic showing various Digital Twin Engineer job openings in Spring, TX as of August 2026, with employment types broken down into 88% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $128,328 per year, or $61.7 per hour.

Assistant / Associate Professor of Surgery - VITAL Lab (AI & Aortic Surgery Research)

Baylor College of Medicine

Houston, TX

Full-time

Re-posted 3 days ago

Baylor College of Medicine rating

8.0

Company rating: 8.0 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

188th of 618 rated colleges and universities

Job description

Baylor College of Medicine and Department Summary:

Baylor (www.bcm.edu) is recognized as one of the nation’s premier academic health science centers and is known for excellence in education, research, and healthcare and community service. Located in the heart of the world's largest medical center (Texas Medical Center), Baylor is affiliated with multiple educational, healthcare and research affiliates (Baylor Affiliates).

Summary

Baylor College of Medicine is seeking an exceptional PhD-level AI researcher to serve as a founding leader of the Vascular Intelligence for Translational AI & Learning (VITAL) Lab-a newly funded, $14M initiative focused on transforming aortic surgery through advanced artificial intelligence, data science, and translational research.

This individual will be responsible for building the VITAL Lab from inception, establishing a state-of-the-art research infrastructure, and leading the development of innovative AI-enabled solutions to improve diagnosis, procedural planning, and outcomes in aortic disease.

The ideal candidate will combine deep technical expertise in AI delivery (computer vision, machine learning, multimodal data) with demonstrated experience in clinical research-preferably in cardiovascular, aortic surgery domains.

Job Duties

VITAL Lab Development & Leadership

  • Lead the end-to-end buildout of the VITAL Lab, including infrastructure, governance, and research roadmap
  • Develop a world-class AI research ecosystem aligned with Baylor Medicine's strategic priorities in vascular and aortic care
  • Oversee utilization of a $14M grant portfolio, ensuring execution against milestones, deliverables, and reporting requirements
  • Establish partnerships across surgery, radiology, cardiology, and computational sciences

________________________________________

AI & Data Platform Development

  • Design and deploy scalable AI pipelines for imaging, clinical, and genomic data
  • Lead development of a large-scale, high-quality aortic research database (imaging repository, clinical registry, biobank integration)
  • Implement machine learning, deep learning, and computer vision models for:
    • Aortic disease detection and classification
    • Surgical planning and simulation, including digital twin creation and computational fluid dynamic analysis
    • Outcomes prediction and risk stratification
  • Drive AI model deployment and real-world clinical integration

________________________________________

Research & Academic Contributions

  • Lead high-impact peer-reviewed publications in top-tier journals
  • Develop and submit extramural grant proposals (NIH, NSF, DoD, industry partnerships)
  • Present research at national and international conferences
  • Establish the VITAL Lab as a global leader in AI-driven aortic surgery research

________________________________________

Clinical & Translational Collaboration

  • Collaborate closely with vascular and aortic surgeons to translate clinical needs into AI solutions
  • Integrate AI tools into clinical workflows and surgical decision-making
  • Support the development of next-generation clinical trials leveraging AI insights

________________________________________

Education & Mentorship

  • Mentor trainees including PhD students, residents, fellows, and research staff
  • Develop educational programming in AI for surgery and translational data science
Minimum Qualifications
  • PhD in Computer Science, Biomedical Engineering, Data Science, or related field
  • Demonstrated expertise in machine learning, deep learning, and AI system development
  • Proven track record of peer-reviewed publications and research impact
  • Experience building or contributing to large-scale research datasets or platforms

Preferred qualifications:

  • Prior experience in cardiovascular disease research
  • Experience working in academic medical centers or translational research environments
  • Demonstrated success in AI deployment
  • Experience managing large research programs, labs, or grant-funded initiatives
  • Proficiency in medical imaging analysis (CT, MRI, 3D reconstruction)
  • Familiarity with regulatory frameworks (HIPAA, data governance, IRB)

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.

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