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Discrete Event Simulation Jobs in Pennsylvania (NOW HIRING)

Build discrete-event simulation models of the Bowl Builder and broader kitchen systems, representing equipment, labor, material flow, queues, buffers, failures, and operating policies under realistic ...

Build discrete-event simulation models of the Bowl Builder and broader kitchen systems, representing equipment, labor, material flow, queues, buffers, failures, and operating policies under realistic ...

Advanced proficiency in AutoCAD/SketchUp for facility layout design, paired with expert-level data extraction and modeling capabilities (SQL, Power BI, Python, or discrete event simulation tools like ...

Lead the design, development, and validation of simulation models (discrete-event, agent-based, system dynamics, or hybrid). * Translate business or operational problems into robust simulation ...

Lead the design, development, and validation of simulation models (discrete-event, agent-based, system dynamics, or hybrid). * Translate business or operational problems into robust simulation ...

Lead the design, development, and validation of simulation models (discrete-event, agent-based, system dynamics, or hybrid). * Translate business or operational problems into robust simulation ...

Data Scientist

Warrendale, PA · On-site

$174 - $222/hr

Experience building simulation models for complex, real-world systems (e.g., discrete-event or digital twins). * Experience working with real-time operational or telemetry data in production ...

Deep knowledge of sample spaces, conditional probability, Bayes theorem, discrete and continuous ... Adapts instruction using simulations, real-world data experiments, and visual probability models to ...

Probability Tutor

Erie, PA · Remote

$18 - $40/hr

Deep knowledge of sample spaces, conditional probability, Bayes theorem, discrete and continuous ... Adapts instruction using simulations, real-world data experiments, and visual probability models to ...

Probability Tutor

Harrisburg, PA · Remote

$18 - $40/hr

Deep knowledge of sample spaces, conditional probability, Bayes theorem, discrete and continuous ... Adapts instruction using simulations, real-world data experiments, and visual probability models to ...

Probability Tutor

Allentown, PA · Remote

$18 - $40/hr

Deep knowledge of sample spaces, conditional probability, Bayes theorem, discrete and continuous ... Adapts instruction using simulations, real-world data experiments, and visual probability models to ...

Probability Tutor

Pittsburgh, PA · Remote

$18 - $40/hr

Deep knowledge of sample spaces, conditional probability, Bayes theorem, discrete and continuous ... Adapts instruction using simulations, real-world data experiments, and visual probability models to ...

Probability Tutor

Chester, PA · Remote

$18 - $40/hr

Deep knowledge of sample spaces, conditional probability, Bayes theorem, discrete and continuous ... Adapts instruction using simulations, real-world data experiments, and visual probability models to ...

Probability Tutor

Reading, PA · Remote

$18 - $40/hr

Deep knowledge of sample spaces, conditional probability, Bayes theorem, discrete and continuous ... Adapts instruction using simulations, real-world data experiments, and visual probability models to ...

Discrete Event Simulation information

See Pennsylvania salary details

$39.1K

$101.5K

$144.3K

How much do discrete event simulation jobs pay per year?

As of Aug 9, 2026, the average yearly pay for discrete event simulation in Pennsylvania is $101,498.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,700.00 and $129,800.00 per year, depending on experience, location, and employer.

What is a discrete event simulation?

A Discrete Event Simulation (DES) job involves developing models to simulate complex systems where changes occur at distinct points in time. Professionals in this role use specialized software and mathematical modeling to analyze processes in areas like manufacturing, logistics, healthcare, and defense. Their goal is to identify inefficiencies, optimize performance, and support decision-making by predicting system behaviors under various conditions. The job typically requires expertise in programming, statistics, and system dynamics.

What are the common challenges faced by professionals working in discrete event simulation?

One of the most common challenges in Discrete Event Simulation roles is accurately modeling complex real-world systems while balancing model detail and computational efficiency. Professionals often need to collect, validate, and process large datasets, requiring both technical acumen and critical thinking. Additionally, communicating simulation results and recommendations to non-technical stakeholders can be demanding but is crucial for implementing process improvements. Collaborative work with cross-functional teams, such as engineers and managers, is common, making strong teamwork and adaptability important assets in this role.

What are the key skills and qualifications needed to thrive in discrete event simulation?

To excel in Discrete Event Simulation, candidates typically need a strong background in mathematics, statistics, computer science, and a relevant degree such as industrial engineering or operations research. Familiarity with simulation software like Arena, Simul8, or AnyLogic—as well as programming skills in languages such as Python or C++—is often required, and certifications in simulation or data analytics are advantageous. Strong analytical thinking, effective communication, and attention to detail are valuable soft skills in this field. These competencies enable professionals to develop accurate simulation models, interpret complex data, and effectively communicate findings to stakeholders, ensuring impactful decision support.

What are the most commonly searched types of Discrete Event Simulation jobs in Pennsylvania? The most popular types of Discrete Event Simulation jobs in Pennsylvania are:
Infographic showing various Discrete Event Simulation job openings in Pennsylvania as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $101,498 per year, or $48.8 per hour.

Senior Simulation Engineer

ATOMS Careers page

Pittsburgh, PA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Job description

Who we are
Lab37 Roboticsis a technology company focused on the development and deployment of robots designed specifically for direct-to-customer food production. Our mission is to revolutionize the food industry by creating innovative robotic solutions that enhance efficiency, quality, and customer satisfaction. We are passionate about pushing the boundaries of technology to deliver cutting-edge products that meet the evolving needs of our industry.
About the role
Lab37 is hiring an industrial engineer specializing in discrete-event simulation to optimize robotic food-production systems. You will model end-to-end production flow (including equipment, labor, material movement, queues, capacity, and operating policies) to identify bottlenecks, evaluate system designs, and guide capital and operational decisions. Beginning with our Bowl Builder and expanding across the full kitchen, your models will help teams understand tradeoffs and make confident decisions about what to build next.
You will own the technical direction for industrial-engineering simulation at Lab37, including choosing tools, setting modeling standards, conducting time studies, characterizing empirical inputs, validating models against operating data, and integrating simulation into product and operations planning. Working closely with our hardware, robotics, and operations teams in Pittsburgh, you will turn complex physical systems into trusted decision-making tools. This is a senior/staff-level individual contributor role with the opportunity to establish a capability central to how Lab37 designs, tests, deploys, and operates its systems.
What you'll do
Industrial engineering and simulation
  • Build discrete-event simulation models of the Bowl Builder and broader kitchen systems, representing equipment, labor, material flow, queues, buffers, failures, and operating policies under realistic demand.
  • Map production processes, conduct time studies, and characterize stochastic inputs-including order arrivals, cycle and setup times, failures and repairs, driver arrivals, demand, and labor variability-from operational data.
  • Extend models from a single robot to end-to-end, multi-station kitchen flow, including prep, fulfillment, labor, material movement, queues, and buffers.
  • Evaluate commercial platforms such as AnyLogic and Simio alongside SimPy, Arena, and in-house approaches; consolidate existing efforts and establish modeling standards.
  • Validate models against operational results and telemetry, including known gaps in sensor fidelity, so predictions are accurate and trusted enough to guide decisions.

What-if analysis and decision support
  • Conduct capacity planning, bottleneck analysis, line balancing, equipment sizing, and facility-layout studies.
  • Evaluate workflow, staffing, shift, buffer, and operating-policy alternatives that are costly or risky to test live, and set performance requirements for proposed robots and modules.
  • Quantify throughput, cycle time, work in process, utilization, yield, downtime, service level, and cost tradeoffs; use the results to recommend kitchen configurations and process improvements.

Cross-functional collaboration
  • Partner closely with operations, manufacturing, hardware, and robotics engineering to ground models in how systems actually behave and feed results back into design and operating decisions.
  • Translate simulation and industrial-engineering findings into clear, decision-ready recommendations.
  • Communicate complex modeling to technical and non-technical stakeholders, with explicit assumptions, uncertainty, and operational implications.

What we are looking for
  • Bachelor's or advanced degree in Industrial Engineering or Operations Research is required; related quantitative degrees considered with substantial operations-simulation experience.
  • 3+ years of relevant experience in industrial engineering, operations research, manufacturing systems, or discrete-event simulation.
  • Hands-on discrete-event simulation experience (e.g., AnyLogic, Simio, SimPy, Arena, or custom engines), plus deep knowledge of production systems, process flow, queueing, capacity analysis, line balancing, time studies, and design of experiments. This is the core of the role.
  • Track record of models that drove equipment, process, facility, staffing, or operational decisions.
  • Ability to model complex, constraint-driven production systems end to end and validate them against imperfect real-world data.
  • Working proficiency in Python and SQL sufficient to build, analyze, and maintain simulation models and tooling.
  • Ability to partner directly with operations, manufacturing, hardware, and robotics engineers and communicate assumptions, uncertainty, and recommendations.

Desirable Skills
  • Experience applying industrial-engineering methods in manufacturing, automation, fulfillment, food production, or other high-throughput operations.
  • Experience building digital twins of physical production or manufacturing systems.
  • Experience with facility layout, material handling, labor modeling, staffing, or ergonomic analysis.
  • Experience working with real-time operational or telemetry data in production environments.
  • Experience in food service, on-demand delivery, or just-in-time manufacturing systems.

Why join us
  • Demand for online food delivery is growing really fast! In the last 5 years, just in the US, the overall market has expanded 10X from $10B to $100B, and could expand to $500bn- $1T by 2030.
  • Changing the restaurant industry: You'll be part of a team that helps restaurants succeed in online food delivery.
  • Collaborative environment: You will receive support and guidance from experienced colleagues and managers, helping you to learn, grow and achieve your goals, and you'll work closely with other teams to ensure our customer's success.

What else you need to know
This role is based in our Pittsburgh office. As a company driven by invention and continuous change - we are constantly reimagining our industries, building new products, and refining how we operate. We do our best work together. That's why all of our office-based teams work onsite, five days a week.
The base salary range for this role is $158,000 - $218,000 per year.
Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications.
Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus.
Benefits Summary (USA Full-Time Exempt Employees):
  • Medical, dental, and vision insurance (multiple plans, incl. HSA options).
  • Company-paid life and disability insurance (short- and long-term).
  • Voluntary insurance: accident, critical illness, hospital indemnity.
  • Optional supplemental life insurance for self, spouse, and children.
  • Pet insurance discount.
  • 401(k).
  • Health Savings Account (HSA)
  • Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
  • Time Off policies:
    • Discretionary vacation days
    • 8 paid holidays per year
    • Paid sick time
    • Paid Bereavement leave
    • Paid Parental Leave

Benefits are subject to change at the company's discretion.
Atoms accepts applications on an ongoing basis.
Ready to join us as we serve those who serve others?
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