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Digital Twin Jobs (NOW HIRING)

Nvidia

Senior Technical Product Manager, RAN Digital Twin

$129K - $170K/yr

Take responsibility for the product lifecycle of the RAN Digital Twin portfolio, handling everything from initial concept through launch and ongoing lifecycle management. * Architectural Strategy:

Aveva

Director, Global Lead, PI and Digital Twin

Houston, TX · On-site +1

$168K - $281K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Drive Digital Twin, AI strategic pillars with PI DI. * PI + AVEVA Software Depth The practice should be able to span PI Data Infrastructure into the broader AVEVA stack - System Platform, AVEVA ...

Aveva

Director, Global Lead, PI and Digital Twin

Philadelphia, PA · On-site +1

$168K - $281K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Drive Digital Twin, AI strategic pillars with PI DI. * PI + AVEVA Software Depth The practice should be able to span PI Data Infrastructure into the broader AVEVA stack - System Platform, AVEVA ...

Aveva

Director, Global Lead, PI and Digital Twin

Lake Forest, CA · On-site +1

$168K - $281K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Drive Digital Twin, AI strategic pillars with PI DI. * PI + AVEVA Software Depth The practice should be able to span PI Data Infrastructure into the broader AVEVA stack - System Platform, AVEVA ...

Aveva

Director, Global Lead, PI and Digital Twin

San Leandro, CA · On-site +1

$168K - $281K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Drive Digital Twin, AI strategic pillars with PI DI. * PI + AVEVA Software Depth The practice should be able to span PI Data Infrastructure into the broader AVEVA stack - System Platform, AVEVA ...

PPG

Process Engineer and Digital Twin Lead - Aerospace

Shelby, NC · On-site

$98K - $127K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Process Engineer and Digital Twin Lead - Aerospace Shelby, NC As an Process Engineer and Digital Twin Lead - Aerospace , you will be responsible for developing a plant simulation that integrates two ...

PPG Industries Inc

$109K - $142K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Process Engineer and Digital Twin Lead - Aerospace Shelby, NC As an Process Engineer and Digital Twin Lead - Aerospace , you will be responsible for developing a plant simulation that integrates two ...

New

TechData Service Company LLC

Be Seen First

Remote Digital Twin Engineer (Simio)

Raritan, NJ · Remote

$40 - $45/hr

  • Medical

  • Dental

  • Vision

... SQL Digital Twin Engineer We are seeking a Simulation Scientist with at least 3 years of experience using Simio to develop, validate, and deploy discrete-event simulation models that support ...

New

Cognizant Technology Solutions

Digital Twin SME

Plano, TX · On-site

$62 - $81.25/hr

Align architecture roadmaps with organizational strategy ensuring that AWS adoption supports long term innovation sustainability and positive societal impact through efficient digital services ...

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How much do digital twin jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for digital twin in the United States is $47.25, according to ZipRecruiter salary data. Most workers in this role earn between $25.48 and $61.30 per hour, depending on experience, location, and employer.

What does a digital twin specialist do?

A Digital Twin Specialist is typically responsible for developing and maintaining digital representations of physical assets, running simulations, analyzing data from IoT sensors, and collaborating with engineering and IT teams to optimize system performance. Daily work often includes meetings with stakeholders to refine requirements, troubleshooting issues in the digital models, and integrating real-time data to improve predictive maintenance and operational efficiency. You’ll also document processes, test new features, and ensure digital twins align with evolving business objectives. This role offers variety and the opportunity to contribute significantly to innovation and decision-making within your organization.

What skills and qualifications are needed to thrive as a digital twin specialist?

To thrive as a Digital Twin Specialist, a strong background in engineering, computer science, or data analytics is essential, along with experience in modeling, simulation, and systems integration. Familiarity with tools such as Siemens NX, Ansys Twin Builder, CAD software, and IoT platforms, as well as certifications in digital twin technologies or cloud computing, are highly valued. Standout professionals demonstrate strong problem-solving abilities, collaboration, and the capacity to communicate complex technical concepts effectively. These skills and qualities ensure the accurate design, implementation, and ongoing optimization of digital twin systems in diverse industries.

What is a digital twin?

A Digital Twin job involves creating virtual replicas of physical systems, processes, or products to analyze performance, simulate outcomes, and optimize efficiency. Professionals in this role use data from IoT sensors, AI, and simulation models to monitor and improve real-world assets. Common industries include manufacturing, healthcare, smart cities, and energy. Responsibilities may include data integration, model development, and predictive analytics.

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Digital Twin jobs near you
Infographic showing various Digital Twin job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $98,272 per year, or $47.2 per hour.

Staff Engineer - AI/ML & Digital Twin

Synopsys, Inc.

Canonsburg, PA • On-site

Other

Re-posted 15 days ago

Job description

Descriptions & Requirements
Job Description and Requirements
We Are:
At Ansys, Part of Synopsys, we're the global leader in engineering simulation software, helping innovative companies solve complex design challenges. Our cutting-edge solutions power advancements across industries, from aerospace to consumer electronics. Join us and help shape the future of technology.
You Are:
You are a highly motivated engineer who thrives at the intersection of engineering simulation, data-driven methods, and AI/ML-enabled workflows. Your expertise allows you to operate confidently in customer-facing environments, translating complex, multidisciplinary challenges into scalable, practical solutions. You possess a strong foundation in simulation or engineering systems, hands-on experience with machine learning and automation, and the ability to engage as a trusted technical advisor.
You are energized by ambiguity, seeking out opportunities to enable new ways of working through automation, digital twins, and intelligent simulation workflows. You are passionate about democratizing simulation technology, making advanced capabilities accessible to a broader spectrum of users. Your approach is both strategic and hands-on, balancing high-level vision with detailed technical execution.
You excel in collaborative environments, working closely with cross-functional teams and customers to deliver impactful solutions. You advocate for innovation and continuous improvement, mentoring peers and championing best practices. Your communication skills enable you to distill complex concepts into actionable insights, fostering understanding across diverse audiences. Above all, you are driven by the desire to make a tangible impact in the world of engineering and technology.
What You'll Be Doing:
  • Lead and execute technical engagements across the customer lifecycle, including discovery, solution development, demonstrations, evaluations, and deployment.
  • Engage directly with customers to understand engineering workflows, data availability, and decision-making processes, translating them into AI-enabled simulation and digital engineering solutions.
  • Develop and implement differentiated solutions using technologies such as automation, reduced order modeling, optimization, simulation democratization, system-level modeling, and digital twins.
  • Integrate machine learning models within simulation and digital twin pipelines to improve prediction accuracy, reduce computational cost, and enable near real-time insights.
  • Define and deliver automated and scalable workflows that reduce reliance on expert-driven simulation and enable broader adoption across engineering teams.
  • Lead or contribute to first-of-a-kind or ambiguous use cases, including AI-assisted design exploration, surrogate modeling, and digital twin deployment.
  • Collaborate closely with product development teams to influence roadmap,validatenew capabilities, and improve usability of AI-enabled features.
  • Deliver professional services, training, and technical guidance to ensure successful adoption of advanced workflows.
  • Support pre-sales and technical marketing activities through demonstrations, evaluations, and industry engagement.

  • Mentor team members and contribute to the best internal practices around AI, automation, and simulation integration.

The Impact You Will Have:
  • Enable customers to transition from traditional simulation to AI-augmented and automated engineering workflows.
  • Reduce time-to-insight through surrogate modeling, optimization, and intelligent automation.
  • Expand access to simulation by supporting democratization across engineering and non-expert users.
  • Drive adoption of digital twin technologies for predictive and operational decision-making.
  • Influence product direction by connecting real-world use cases with next-generation AI-enabled capabilities.
  • Contribute to business growth through high-impact technical engagements and solution delivery.

What You'll Need:
  • MS (or PhD) in Engineering, Computer Science, Applied Mathematics, or related field .
  • 5+ years of experience in engineering systems, simulation, or data-driven modeling.
  • Strong programming skills (Python preferred).
  • Experience working with modeling, simulation, optimization, or data-driven engineering workflows.
  • Strong analytical, problem-solving, and communication skills.
  • Ability tooperateeffectively in a customer-facing, consultative engineering role.
  • Proven experience in automation of engineering workflows or pipelines using tools such as optiSLang , modeFrontier , HEEDS or equivalent.
  • Demonstratedexpertiseapplying machine learning techniques in engineering contexts, including surrogate modeling, regression methods, or neural networks (CNNs, RNNs, autoencoders).
  • Understanding of projection-based ROMs, dimensionality reduction, and feature engineering.
  • Knowledge of multi-fidelity system modeling using Twin Builder, Simulink, AMESim or equivalent.
  • Familiarity with deployment and operationalization of AI models, including integration into engineering workflows and use of frameworks such as PyTorch , TensorFlow, scikit-learn, Kubernetes, AWS/Azure equivalent.

  • Exposure to cloud or HPC-based environments for large-scale simulation or data processing.

Who You Are:
  • Customer-focused and able to build trusted relationships.
  • Comfortable working in ambiguous, fast-evolving technical environments.
  • A strong communicator who can translate complex concepts into actionable insights.
  • Self-driven, organized, and capable of managing multiple priorities.
  • A collaborative team player who contributes to a culture of learning and innovation.

The Team You'll Be A Part Of:
You will be part of a multidisciplinary engineering team focused on advancing industry adoption of simulation through AI, automation, digital twin, and MBSE technologies. The team collaborates closely with customers, product development, and go-to-market functions to deliver innovative, high-impact solutions.
Rewards and Benefits:
We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.
At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.
In addition to the base salary, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details on the total rewards package upon request. The base salary range for this role is across the U.S.
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About Synopsys

Sourced by ZipRecruiter

Synopsys, Inc. (Nasdaq:SNPS) is the Silicon to Software partner for creative companies developing the electronic products and software applications we rely on every single day. As the world's 15th largest software company, Synopsys has a long history of being a global leader in electronic design automation (EDA) and semiconductor IP and is also growing its leadership in software quality and security solutions. Whether you're a system-on-chip (SoC) designer building advanced semiconductors, or a software developer writing applications that require the highest quality and security, Synopsys has the solutions needed to deliver exceptional, secure products for the era of connected everything. The company is headquartered in Mountain View, California, and has approximately 113 offices located throughout North America, South America, Europe, Japan, Asia and India. Since 1986, Synopsys has been at the heart of accelerating electronics innovation with engineers around the world having used Synopsys technology to successfully design and create billions of chips and systems that are found in the electronics that people rely on every single day.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Mountain View, CA, US

Year founded

1986

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