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Discrete Event Simulation Engineer Jobs in Hudson, NH

Senior Factory Efficiency Engineer

Harvard, MA · On-site

$115.40 - $158.70/hr

Job Purpose As the Senior Factory Efficiency Engineer , you will be a data-driven architect of ... Expert-level knowledge of automation, discrete event simulation, python scripting, material flow ...

Job Purpose As the Senior Factory Efficiency Engineer , you will be a data-driven architect of ... Expert-level knowledge of automation, discrete event simulation, python scripting, material flow ...

Senior Research Scientist - Machine Leaning

Woburn, MA · On-site

$105K - $134K/yr

... electrical engineering, computer science, or data science • Experience building and training ... discrete event sequence, or geospatial • Experience with self-supervised machine learning • ...

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Discrete Event Simulation Engineer information

See Hudson, NH salary details

$39.4K

$124.8K

$192.6K

How much do discrete event simulation engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for discrete event simulation engineer in Hudson, NH is $124,781.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,000.00 and $148,100.00 per year, depending on experience, location, and employer.

What is a discrete event simulation engineer?

A Discrete Event Simulation Engineer is a professional who designs, develops, and implements simulation models that represent real-world systems as a series of distinct events occurring over time. These engineers use specialized software and analytical methods to model complex processes such as manufacturing lines, logistics networks, or service systems. Their work helps organizations optimize performance, test scenarios, and make data-driven decisions without disrupting actual operations. Skills in programming, systems analysis, and mathematics are essential for this role.

What are the key skills and qualifications needed to thrive as a discrete event simulation engineer?

To thrive as a Discrete Event Simulation Engineer, you need a strong background in mathematics, computer science, and systems engineering, typically supported by a relevant degree. Proficiency in simulation software such as Arena, Simul8, or AnyLogic, as well as programming languages like Python or C++, is commonly required. Analytical thinking, problem-solving abilities, and effective communication skills are crucial for interpreting data and collaborating with cross-functional teams. These skills ensure accurate modeling, efficient problem resolution, and successful implementation of simulation solutions in complex systems.

What are some common challenges faced by discrete event simulation engineers when integrating simulation models with existing business processes?

Discrete Event Simulation Engineers often encounter challenges when aligning simulation models with real-world business processes, such as ensuring data accuracy, managing stakeholder expectations, and adapting to frequently changing operational parameters. It can be difficult to gather precise input data and validate models against actual system performance. Additionally, engineers must communicate complex simulation results to non-technical stakeholders and collaborate closely with cross-functional teams to implement recommended changes. Overcoming these challenges requires strong analytical skills, effective communication, and adaptability.

What is the difference between Discrete Event Simulation Engineer vs Operations Research Analyst?

AspectDiscrete Event Simulation EngineerOperations Research Analyst
Required CredentialsBachelor's or Master's in Engineering, Computer Science, or related field; proficiency in simulation softwareBachelor's or Master's in Mathematics, Statistics, or Industrial Engineering; strong analytical skills
Work EnvironmentEngineering teams, manufacturing, logistics, or IT sectorsConsulting firms, government agencies, or corporate planning departments
Industry UsageModeling complex systems to optimize processes and workflowsAnalyzing data to improve decision-making and resource allocation

While both roles involve analytical skills and modeling, Discrete Event Simulation Engineers focus on creating simulation models of systems to optimize performance, often using specialized software. Operations Research Analysts analyze data and develop models to support strategic decisions. The roles overlap in skills but differ in application and industry focus.

What cities near Hudson, NH are hiring for Discrete Event Simulation Engineer jobs?

Cities near Hudson, NH with the most Discrete Event Simulation Engineer job openings:

Senior Manager, System Modeling & Design Simulation

Symbotic

Wilmington, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 27 days ago


Symbotic rating

7.2

Company rating: 7.2 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

185th of 247 rated software companies


Job description

Who we are
With its A.I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through the supply chain. Intelligent software orchestrates advanced robots in a high-density, end-to-end system - reinventing warehouse automation for increased efficiency, speed and flexibility.
What We Need
We are seeking an experienced Senior Manager to lead our System Modeling & Design Simulation organization. This team develops mathematical models, analytical tools, and simulation frameworks used to evaluate future system designs, optimize performance, and guide strategic engineering decisions.
The team enables data-driven innovation by creating predictive models that help engineering organizations understand how complex robotic systems will perform before physical implementation. Through system-level simulation and quantitative analysis, the team reduces technical risk, accelerates product development, and improves operational efficiency.
This leader will manage a team of approximately 5-10 engineers and modeling specialists.
What you'll do
Technical Leadership
  • Define and execute the strategy for system modeling, engineering simulation, and design optimization.
  • Develop mathematical models representing robotic systems, workflows, operational processes, and system behaviors.
  • Lead creation of simulation tools used to evaluate future product architectures and design concepts.
  • Build capabilities for throughput analysis, capacity planning, system optimization, and performance forecasting.
  • Drive design-space exploration and trade-off analysis for next-generation products and technologies.
  • Develop discrete-event, operational, and system-level simulations supporting strategic engineering decisions.
  • Partner with architecture, controls, mechanical, and software teams to analyze design alternatives and optimize system performance.
  • Establish quantitative methodologies and predictive models that improve decision-making across the organization.

Engineering Leadership
  • Lead and develop a team of 5-10 simulation and modeling engineers.
  • Establish technical standards and modeling best practices.
  • Create a culture focused on analytical rigor, innovation, and engineering excellence.
  • Support hiring, mentoring, and career growth of technical staff.

Strategic Impact
  • Provide simulation-based recommendations that influence product and technology roadmaps.
  • Partner with engineering leadership to assess future investments and architectural decisions.
  • Communicate complex technical findings to executive and cross-functional audiences.

What you'll need
  • Minimum of 8 years of experience in system simulation, modeling, operations research, robotics, controls, or related disciplines.
  • Minimum of 3 years of engineering management experience.
  • Experience managing teams of 5-10 engineers.
  • Strong background in mathematical modeling, optimization, simulation, and systems analysis.
  • Experience with design trade studies, performance modeling, capacity planning, or operational simulation.
  • Knowledge of discrete-event simulation, control systems, optimization techniques, statistics, and analytical methods.
  • Experience translating simulation outputs into engineering and business decisions.
  • Excellent communication and leadership skills.

Our environment
  • Up to 10% of travel may be required. Employees must have a valid driver's license and the ability to drive and/or fly to client and other customer locations.

  • Employees may be required to use a personal credit card for business travel expenses, which are reimbursed based on the program guidelines. Eligible employees may receive a corporate credit card based on role and travel requirements, but a personal credit card may be needed during onboarding until the corporate card is issued.

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About Symbotic
Symbotic is an automation technology leader reimagining the supply chain with its end-to-end, AI-powered robotic and software platform. Symbotic reinvents the warehouse as a strategic asset for the world's largest retail, wholesale, and food & beverage companies. Applying next-gen technology, high-density storage and machine learning to solve today's complex distribution challenges, Symbotic enables companies to move goods with unmatched speed, agility, accuracy and efficiency. As the backbone of commerce the Symbotic platform transforms the flow of goods and the economics of supply chain for its customers. For more information, visit www.symbotic.com.
We are a community of innovators, collaborators and pioneers who embrace our differences, because we know unique perspectives make us stronger and smarter. Every perspective matters. We depend on the collective voices of our employees, customers and community to help guide us as we build a better place to work - for you and the world. That's why we're proud to be an equal opportunity employer.
We do not discriminate based on race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.
The base range for this position in the posted location is $180,000.00 - $247,500.00 however, base pay offered may vary depending on job-related knowledge, skills, and experience. The compensation package includes medical, dental, vision, disability, 401K, PTO and/or other benefits.

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