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How much do discrete event simulation jobs pay per year?

As of Jun 26, 2026, the average yearly pay for discrete event simulation in the United States is $101,255.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $129,500.00 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.

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Discrete Event Simulation jobs near you

Engineer II /Senior Software Engineer, Simulation

Lila Sciences

Cambridge, MA • On-site

$120K - $192K/yr

Full-time

Medical, Dental, Vision, Life

Posted yesterday

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.

Compensation
We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.
U.S. Benefits. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.
International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.
Expected Base Salary Range
$120,000-$192,000 USD
About LILA
Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.
Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.
We're All In
Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
A Note to Agencies
Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.

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