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Digital Twin Simulation Model Jobs in Rochester, NY

MKS Instruments, Inc.

Manufacturing Engineer

Rochester, NY · On-site

$71K - $118K/yr

... simulations to model - Assembly flows - Cycle times and throughput optimization • Support digital manufacturing initiatives (digital twin concepts, virtual validation) • Experience in High-Tech ...

MKS Instruments, Inc.

Manufacturing Engineer

Rochester, NY · On-site

$71K - $118K/yr

... simulations to model - Assembly flows - Cycle times and throughput optimization • Support digital manufacturing initiatives (digital twin concepts, virtual validation) • Experience in High-Tech ...

MKS Instruments, Inc.

Manufacturing Engineer

Rochester, NY · On-site

$71K - $118K/yr

... simulations to model - Assembly flows - Cycle times and throughput optimization • Support digital manufacturing initiatives (digital twin concepts, virtual validation) • Experience in High-Tech ...

Quantam

Senior Principal RF Engineer

Victor, NY · On-site

Strong proficiency in RF simulation and modeling tools (e.g., HFSS, ADS, CST, MATLAB) * Ability to design general analog circuitry, power supplies and RF/Digital interfaces. * Proficient at RF and ...

L3HHCM20

Sr. Associate, Mechanical Engineer

Rochester, NY · On-site +1

$59K - $110K/yr

... digital processing algorithms for both time-domain and frequency-domain methods. Essential Functions: * Model control systems as part of larger system simulations for electro-mechanical and opto ...

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All JobsDigital Twin Simulation Model JobsDigital Twin Simulation Model Jobs in Rochester, NY

Digital Twin Simulation Model information

See Rochester, NY salary details

$38.5K

$99.9K

$142.1K

How much do digital twin simulation model jobs pay per year?

As of Sep 7, 2026, the average yearly pay for digital twin simulation model in Rochester, NY is $99,905.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,500.00 and $127,800.00 per year, depending on experience, location, and employer.

What is a digital twin simulation model?

A Digital Twin Simulation Model is a virtual representation of a physical object, process, or system that is used to simulate, predict, and optimize its real-world counterpart. By using real-time data and advanced analytics, digital twins help organizations monitor performance, detect issues, and test scenarios without impacting actual operations. These models are widely used in industries such as manufacturing, healthcare, and smart cities to improve efficiency, reduce costs, and enable better decision-making.

What are common challenges faced when developing digital twin simulation models, and how can they be addressed?

One common challenge in developing digital twin simulation models is ensuring accurate data integration from various sources, which is crucial for creating realistic and actionable simulations. Team members often need to collaborate closely with engineers, IT specialists, and data analysts to validate and synchronize real-world and simulated data. Addressing these challenges requires strong communication skills, familiarity with integration tools, and a proactive approach to troubleshooting discrepancies. Additionally, keeping up with rapidly evolving technologies in simulation software and IoT devices is essential for maintaining effective and up-to-date models.

What are the key skills and qualifications needed to thrive as a digital twin simulation modeler, and why are they important?

To thrive as a Digital Twin Simulation Modeler, you need a solid background in engineering, computer science, or data science, along with experience in simulation modeling and systems analysis. Familiarity with tools like MATLAB, Simulink, Python, and specialized digital twin platforms (such as Siemens NX or PTC ThingWorx), plus relevant certifications, is often expected. Strong problem-solving abilities, communication, and collaboration skills help in translating real-world processes into accurate virtual models and working with cross-functional teams. These capabilities are crucial to create effective, scalable, and reliable digital twins that drive innovation and operational efficiency.

What is the difference between Digital Twin Simulation Model vs Data Analyst?

AspectDigital Twin Simulation ModelData Analyst
Required CredentialsEngineering, Computer Science, or related technical degrees; certifications in simulation or modelingStatistics, Data Science, or related degrees; certifications in data analysis tools
Work EnvironmentIndustrial, manufacturing, or engineering settings; using simulation softwareOffice or remote; analyzing datasets and creating reports
Industry UsageManufacturing, aerospace, energy, and infrastructureFinance, marketing, healthcare, and technology sectors
Search & Comparison IntentUnderstanding simulation modeling for system optimizationAnalyzing data trends and insights

The Digital Twin Simulation Model focuses on creating virtual replicas of physical systems for testing and optimization, often requiring engineering expertise. In contrast, Data Analysts interpret data to inform business decisions, typically using statistical tools. While both roles involve data and modeling, their applications and environments differ significantly.

What are popular job titles related to Digital Twin Simulation Model jobs in Rochester, NY?

For Digital Twin Simulation Model jobs in Rochester, NY, the most frequently searched job titles are:

What job categories do people searching Digital Twin Simulation Model jobs in Rochester, NY look for?

The top searched job categories for Digital Twin Simulation Model jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Digital Twin Simulation Model jobs?

Cities near Rochester, NY with the most Digital Twin Simulation Model job openings:

Digital Twin Simulation Model jobs near you

Manufacturing Engineer

MKS Instruments, Inc.

Rochester, NY • On-site

$71K - $118K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago

Job description

A Day in Your Life at MKS:
As an Manufacturing Engineer at MKS, you will partner with Tech Ops Team to develop, support NPI designs. In this role, you will report to the Manufacturing Engineering manager
You Will Make an Impact By:
Providing day to day support to assembly operations
Develop and Improve Manufacturing process for RF generators and subassemblies
Drive Root cause analysis
Support Transfer of New Designs to HVM
Design fixtures and tooling
Create and maintain Work instruction, Process Flows, BOM's and Standard Operating procedures
Travel Requirements: Up to 20 % of Travel is required.
Skills You Bring:
Education: Bachelors Degree in Manufacturing Engineering
2+ years of manufacturing Engineering experience (school and co-ops count)

Develop and use process simulations to model

- Assembly flows

- Cycle times and throughput optimization

Support digital manufacturing initiatives (digital twin concepts, virtual validation)
Experience in High-Tech manufacturing such as:

Semiconductor or electro-mechanical assemblies

Cross Functional Engineering collaboration
Digital Factory or Manufacturing simulation
Process Validation (PFMEA)
Preferred Skills: (Optional)
Design for Manufacturing experience (DFX)
Data driven problem solving
Microsoft Excel, Power point, Visual Factory, Oracle working knowledge a plus
Physical Demands and Working Conditions:
Work performed in a production/assembly environment with exposure to:

Mechanical Equipment

Automation systems

Office work (desk, computer)
Hands-on shop floor support

Compensation & Benefits
  • Salary Range: $71,025 - $118,375 USD annually. This range represents a good faith estimate based on qualifications, experience, training, and business needs.
  • Bonus: Eligible for a discretionary annual bonus, determined by MKS.
  • Benefits: Comprehensive package including medical, dental, and vision coverage, 401(k) with company match, life and disability insurance, 12 paid holidays, sick time, and 15 days of paid vacation. Additional offerings include fully paid parental leave, adoption assistance, tuition reimbursement, and opportunities for career growth in a collaborative and innovative environment.

MKS is an equal opportunity employer, including disability, veteran status and all categories protected by law. Please review our EOE statements for additional details. MKS is generally only hiring candidates who reside in states where we are registered to do business.

Globally, our policy is to recruit individuals from wide and diverse backgrounds. However, certain positions require access to controlled goods and technologies subject to the International Traffic in Arms Regulations (ITAR) or Export Administration Regulations (EAR). Applicants for these positions may need to be "U.S. persons." "U.S. persons" are generally defined as U.S. citizens, noncitizen nationals, lawful permanent residents (or, green card holders), individuals granted asylum, and individuals admitted as refugees.

MKS Inc. and its affiliates and subsidiaries ("MKS") is an affirmative action and equal opportunity employer: diverse candidates are encouraged to apply. We win as a team and are committed to recruiting and hiring qualified applicants regardless of race, color, national origin, sex (including pregnancy and pregnancy-related conditions), religion, age, ancestry, physical or mental disability or handicap, marital status, membership in the uniformed services, veteran status, sexual orientation, gender identity or expression, genetic information, or any other category protected by applicable law. Hiring decisions are based on merit, qualifications and business needs. We conduct background checks and drug screens, in accordance with applicable law and company policies. MKS is generally only hiring candidates who reside in states where we are registered to do business.

MKS is committed to working with and providing reasonable accommodations to qualified individuals with disabilities. If you need a reasonable accommodation during the application or interview process due to a disability, please contact us at:accommodationsatMKS@mksinst.com.

If applying for a specific job, please include the requisition number (ex: RXXXX), the title and location of the role

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