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Discrete Event Simulation Jobs in Houston, TX (NOW HIRING)

Physical AI Senior Manager

Houston, TX · On-site

$120K - $159K/yr

Simulation, digital twins, physics-based modeling for factories, lines, cells, warehousing, and logistics (e.g., discrete event, physics, MILP) * Synthetic data generation and validation approaches ...

Probability Tutor

Pearland, TX · 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 ...

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

Houston, TX · 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 Houston, TX salary details

$37.2K

$96.7K

$137.5K

How much do discrete event simulation jobs pay per year?

As of Jul 28, 2026, the average yearly pay for discrete event simulation in Houston, TX is $96,696.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $123,700.00 per year, depending on experience, location, and employer.

What is a Discrete Event Simulation job?

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 roles?

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 the Discrete Event Simulation position, and why are they important?

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 cities near Houston, TX are hiring for Discrete Event Simulation jobs? Cities near Houston, TX with the most Discrete Event Simulation job openings:
Infographic showing various Discrete Event Simulation job openings in Houston, TX as of July 2026, with employment types broken down into 1% Locum Tenens, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $96,696 per year, or $46.5 per hour.
Postdoctoral Researcher - Simulation & Digital Twin Modeling

Postdoctoral Researcher - Simulation & Digital Twin Modeling

ExxonMobil

Spring, TX • On-site, Remote

$106K/yr

Other

Medical, Life

Posted 12 days ago


ExxonMobil rating

6.0

Company rating: 6.0 out of 10

Based on 226 frontline employees who took The Breakroom Quiz

71st of 86 rated oil and gas companies


Job description

About us

At ExxonMobil, our vision is to lead in energy innovations that advance modern living while reducing emissions. As one of the world's largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.

The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies. 

We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society's evolving needs. Learn more about our What and our Why and how we can work together.

Why Join ExxonMobil?

You will contribute to the development of advanced simulation and digital twin capabilities that enable better decisions across complex energy and industrial systems.

About the Role

ExxonMobil is seeking a Postdoctoral Researcher with expertise in advanced simulation methods to support decision-making through digital twin and market/system modeling. The role focuses on developing and applying simulation approaches-such as discrete event simulation, system dynamics, and agent-based modeling-to represent complex operational and market systems.

The successful candidate will build scalable simulation frameworks that integrate with optimization and analytics workflows to enable scenario analysis, forecasting, and strategic decision support.

Key Responsibilities
  • Develop simulation models using discrete event simulation, system dynamics, and/or agent-based modeling.
  • Build digital twins of operational or market systems to support scenario analysis and decision-making.
  • Integrate simulation with optimization and data-driven models.
  • Analyze system behavior under uncertainty and evaluate policy or operational strategies.
  • Develop reusable frameworks for rapid simulation deployment across applications.
  • Apply methods to real-world problems in energy markets, operations, and emerging low-carbon systems.
Required Qualifications
  • Ph.D. in Industrial Engineering, Operations Research, Systems Engineering, Applied Mathematics, or related field.
  • Experience with at least one simulation paradigm (discrete event, agent-based, or system dynamics).
  • Strong programming skills (Python or similar).
  • Experience building simulation models for complex systems.
Preferred Qualifications
  • Experience with digital twin development or system-level modeling.
  • Familiarity with integrating simulation and optimization.
  • Experience in market modeling or energy systems.
  • Knowledge of uncertainty analysis or stochastic modeling.
Duration

This opportunity is for a postdoctoral position expected to last one to three years, subject to annual review and renewal.

Work Location

Our post doctoral research employees are located at our main corporate office in Spring, Texas.

Your Total Rewards

An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance, and life. Individual pay is determined based on various factors including degree/education, discipline, year of study, skills, abilities, qualifications, and work experience. 


More information on our Company's benefits can be found at www.exxonmobilfamily.com.


Please note pay rates and benefits may be changed from time to time without notice, subject to applicable law.

Relocation Options

Relocation benefits may be available to you based on ExxonMobil eligibility guidelines. 

Equal Opportunity Employer

ExxonMobil is an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.

Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. 

Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.


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