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Discrete Event Simulation Engineer Jobs in Oregon

This role focuses on building and analyzing discrete event simulation models to guide factory and line design decisions prior to RFQ and detailed design phases. The engineer will collaborate with ...

OR · On-site

$89K - $148K/yr

Guidehouse is seeking an Industrial Engineering Senior Consultant who will support the delivery of ... Knowledge of discrete event simulation and supporting software (Simio, Arena, FlexSim, etc.) The ...

New

... events. This position requires the ability to obtain a Secret clearance; active Secret clearance ... software engineers, modelers, and analysts to optimize performance for large-scale simulations.

Physical AI Senior Manager

Portland, OR

$134.20K - $177.10K/yr

... discrete event, physics, MILP) * Synthetic data generation and validation approaches for model ... simulation workflows, robotics stacks) and Siemens engineering platforms and tooling; ability to ...

SoC Logic Design Engineer

Hillsboro, OR · On-site

$141.91K - $269.10K/yr

Develops the logic design, register transfer level (RTL) coding, and simulation for an SoC design ... SoC or discrete component design. Participates in the definition of architecture and ...

Develops the logic design, register transfer level (RTL) coding, and simulation for an SoC design ... SoC or discrete component design. Participates in the definition of architecture and ...

Senior AI Algorithm Engineer in oneDNN

Hillsboro, OR · On-site +1

$195.20K - $275.58K/yr

... discrete GPUs. Responsibilities * Design, develop, and optimize new features and algorithms for ... events, and more. Qualifications: Minimum qualifications are required to be initially considered ...

Collaborate on pre-silicon simulation and emulation, silicon power-on, and post-silicon development ... discrete graphics. Posting Statement:All qualified applicants will receive consideration for ...

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Discrete Event Simulation Engineer information

What are the key skills and qualifications needed to thrive as a Discrete Event Simulation Engineer, and why are they important?

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 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 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 are popular job titles related to Discrete Event Simulation Engineer jobs in Oregon? For Discrete Event Simulation Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Discrete Event Simulation Engineer jobs in Oregon look for? The top searched job categories for Discrete Event Simulation Engineer jobs in Oregon are:
What cities in Oregon are hiring for Discrete Event Simulation Engineer jobs? Cities in Oregon with the most Discrete Event Simulation Engineer job openings:
Senior Software Simulation Engineer

Contractor

Posted 26 days ago


Job description

The Factory Design & Simulation team is seeking a contract Simulation Engineer (Discrete Event Simulation) to support early manufacturing engineering and throughput architecture for a new product ramp at a production facility.

This role focuses on building and analyzing discrete event simulation models to guide factory and line design decisions prior to RFQ and detailed design phases. The engineer will collaborate with cross-functional teams-including Body, General Assembly, Paint, Battery, Drive Unit, and Material Flow-to validate capacity, size buffers, and identify bottlenecks impacting launch and ramp performance.

Key Responsibilities:

  • Build discrete event simulation models (FlexSim preferred) for manufacturing and material flow use cases (e.g., inter-shop buffers, ASRS sizing, AGV flows, shop overspeed trade-offs).
  • Translate high-level factory requirements (demand, shift patterns, product mix, FPY, MTBF/MTTR) into simulation-ready inputs and scenarios.
  • Run scenario and sensitivity analyses to:
    • Confirm line and shop net Jobs Per Hour (JPH) against targets.
    • Quantify overspeed, OPR/TEE, and buffer requirements.
    • Evaluate Jobs Per Shift (JPS) regularity and risk envelopes.
  • Summarize findings in clear, decision-focused reports and presentations, including trade-offs related to throughput, risk, and space.
  • Collaborate with layout, material flow, and industrial engineering teams to align simulation assumptions with production requirements and constraints.
  • Follow established discrete event simulation standards for model structure, naming, documentation, and handoff.

Job Requirements

Required Qualifications:

  • 3+ years of experience in automotive manufacturing engineering (e.g., body, paint, general assembly, battery, drive unit, or material flow) with direct ownership of discrete event simulation projects.
  • Expert-level proficiency with Autodesk FlexSim.
  • Demonstrated experience modeling:
    • Multi-line assembly systems with buffers and rework loops.
    • Stochastic systems (failures, repairs, variability in process times).
    • Throughput, capacity, and bottleneck analysis.
  • Strong understanding of manufacturing KPIs (JPH, JPS, OEE/TEE, MTBF/MTTR, WIP, buffer sizing).
  • Ability to clean, structure, and validate input data; define scenarios; and clearly communicate model assumptions and limitations.
  • Strong communication skills, with the ability to translate complex simulation outputs into concise, actionable recommendations for non-technical stakeholders.

Preferred Qualifications:

  • Familiarity with FlexScript, C++, or Python for custom logic and simulation tooling.
  • Experience supporting greenfield factory design or major capacity expansions, including launch and ramp phases. 
Education:Employment Type: CONTRACTOR

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