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Freelance Discrete Event Simulation Jobs (NOW HIRING)

Quest Global

Simulation Engineer

Minneapolis, MN · Remote

$75K - $90K/yr

Demonstrable working knowledge and experience of Discrete Event Simulation Toolset. * Demonstrable previous experience and background in production process flow simulation, problem solving on complex ...

Quest Global

Simulation Engineer - Remote

Minneapolis, MN · Remote

$60K - $65K/yr

Demonstrable working knowledge and experience of Discrete Event Simulation Toolset. * Demonstrable previous experience and background in production process flow simulation, problem solving on complex ...

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Freelance Discrete Event Simulation information

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How much do freelance discrete event simulation jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for freelance discrete event simulation in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

What is a freelance discrete event simulation specialist?

A Freelance Discrete Event Simulation specialist is an independent professional who creates and analyzes computer models that simulate the operation of complex systems over time. These specialists use discrete event simulation techniques to represent events occurring at distinct points, such as arrivals, departures, or breakdowns in systems like manufacturing lines, healthcare processes, or logistics networks. By working freelance, they take on projects for various clients, helping organizations optimize processes, reduce costs, and make informed decisions based on data-driven simulations.

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

To thrive as a Freelance Discrete Event Simulation specialist, you need a solid background in mathematics, systems engineering, and simulation modeling, often supported by a degree in engineering, computer science, or related fields. Proficiency in simulation software such as Arena, Simul8, or AnyLogic, along with knowledge of programming languages like Python or C++, is typically required. Strong problem-solving abilities, client communication, and adaptability are crucial soft skills for managing projects and delivering customized solutions. These skills ensure accurate simulation models, effective client collaboration, and successful project outcomes in diverse industries.

What are some common challenges faced by freelance discrete event simulation professionals, and how can they effectively manage project workflows?

Freelance discrete event simulation professionals often face challenges such as managing multiple projects with differing client requirements, ensuring clear communication despite remote collaboration, and staying updated with evolving simulation tools and methodologies. To effectively manage workflows, it's important to establish clear project milestones, maintain detailed documentation, and utilize version control systems for model files. Building strong client relationships and setting realistic expectations also help ensure smooth project delivery and client satisfaction.

What is the difference between Freelance Discrete Event Simulation vs Data Analyst?

AspectFreelance Discrete Event SimulationData Analyst
Required CredentialsKnowledge of simulation software, basic programming skillsDegree in statistics, mathematics, or related field; proficiency in data tools
Work EnvironmentProject-based, remote or on-site consultingOffice or remote, often within organizations
Industry UsageManufacturing, logistics, healthcare, where process modeling is neededFinance, marketing, healthcare, analyzing data trends

Freelance Discrete Event Simulation specialists focus on modeling and analyzing complex systems through simulation, often working independently on specific projects. Data Analysts interpret data sets to provide insights, typically within organizations. While both roles require analytical skills, discrete event simulation emphasizes process modeling, whereas data analysis centers on data interpretation and reporting.

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Freelance Discrete Event Simulation jobs near you
Infographic showing various Freelance Discrete Event Simulation job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% In-person job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Engineer II /Senior Software Engineer, Simulation

Lila Sciences

Cambridge, MA

$133K - $176K/yr

Full-time

Re-posted 20 days ago

Job description

Your Impact at LILA

Lila Sciences is building autonomous science platforms that compress the cycle time of scientific discovery. The Robotics and Scheduling teams develop the scheduling and coordination infrastructure that drives our AI Science Factory, commanding instruments, managing robotic fleets, and maximizing throughput across complex, multi-step lab workflows.

We are looking for a Software Engineer to build and maintain a discrete event simulation platform that serves as a fast, lightweight complement to our high-fidelity robotics simulations. Your work will be the primary testbed for iterating on scheduling strategies, fleet coordination algorithms, and capacity planning, exercising the same core decision-making code that runs in production at a fraction of the cost and time. You will work closely with the Robotics and Scheduling teams to ensure the simulation remains a trustworthy, reproducible tool for driving real engineering decisions.

What You'll Be Building

  • Design and maintain a low-fidelity discrete event simulation platform modeling lab workflows, instrument states, and robotic transport.
  • Architect the platform so production scheduling and fleet coordination code runs with minimal changes.
  • Build experiment tracking and reproducibility infrastructure so every run is logged, versioned, and comparable.
  • Develop tooling for parameter sweeps, scheduler benchmarks, and capacity planning across lab configurations and workloads.
  • Partner with Scheduling and Robotics teams to validate new scheduling and coordination strategies.
  • Ship clean, well-documented simulation APIs other engineers can build on.

What You'll Need to Succeed

  • 1-3 years of hands-on experience in simulation engineering, operations research, or a closely related field.
  • Strong software engineering fundamentals: testing, CI/CD, API design, and the ability to balance velocity with maintainability.
  • Strong understanding of experiment reproducibility: seeding, versioning, logging, and structured comparison of simulation runs.
  • Solid grasp of system modeling concepts: queuing, resource contention, event scheduling, and stochastic behavior.
  • Strong communication skills and comfort working across teams with different technical backgrounds.

Bonus Points For

  • Practical experience with discrete event simulation (e.g. SimPy).
  • Experience designing and maintaining internal developer tools or platforms.
  • Experience in robotics, warehousing, or logistics environments where physical transport is a first-class part of the system model.
  • Familiarity with scheduling algorithms or heuristics (greedy dispatching, priority rules, constraint-based approaches).
  • Experience with experiment tracking platforms (MLflow, Weights & Biases, or similar).
  • Comfort reasoning about the tradeoffs between simulation fidelity, speed, and coverage of production code paths.

Apply