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Senior Discrete Event Simulation Jobs in Massachusetts

Humana Inc

Senior Decision Intelligence Engineer (NBA)

Boston, MA · On-site

$107 - $147/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

## Senior Decision Intelligence Engineer (NBA)Applylocations: Remote Nationwidetime type: Full ... discrete-event simulation, or large-scale combinatorial or constrained optimization.* Deep ...

VulcanForms

Senior Factory Efficiency Engineer

Devens, MA · On-site

$115K - $158K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Job Purpose As the Senior Factory Efficiency Engineer , you will be a data-driven architect of ... Expert-level knowledge of automation, discrete event simulation, python scripting, material flow ...

STR

Senior Research Scientist - Machine Leaning

Woburn, MA · On-site

$105K - $134K/yr

... modeling/simulation runs, and associated verification and performance analysis using standard ... discrete event sequence, or geospatial • Experience with self-supervised machine learning • ...

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Senior Discrete Event Simulation information

What is a senior discrete event simulation specialist?

A Senior Discrete Event Simulation (DES) specialist is an expert who designs, develops, and analyzes computer-based models that simulate the operation of systems as sequences of distinct events over time. They often work in industries like manufacturing, logistics, healthcare, or defense to help organizations optimize processes and make data-driven decisions. In addition to building simulation models, they interpret results, provide insights, and may lead teams or mentor junior staff. This role typically requires strong analytical skills, knowledge of simulation software, and experience in systems engineering or operations research.

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

To thrive as a Senior Discrete Event Simulation Specialist, you need a strong background in operations research, mathematics, computer science, and simulation modeling, typically supported by a relevant degree and several years of experience. Expertise in simulation tools such as Arena, Simul8, AnyLogic, or similar platforms, along with proficiency in programming languages like Python or C++, is essential. Strong analytical thinking, problem-solving capabilities, and effective communication skills set top performers apart in this role. These skills are crucial for accurately modeling complex systems, interpreting results, and delivering actionable insights to stakeholders.

What are some common challenges faced by senior discrete event simulation professionals when integrating models with existing systems?

Senior Discrete Event Simulation professionals often encounter challenges when integrating simulation models with existing IT infrastructure or operational systems. These can include data compatibility issues, ensuring real-time data exchange, and maintaining model accuracy as system requirements evolve. Collaborating closely with IT teams and stakeholders is essential to address these hurdles, and professionals may need to develop custom interfaces or adapt models to fit the unique constraints of each environment. Effective communication and thorough documentation are also key to successful integration and ongoing model maintenance.

What is the difference between Senior Discrete Event Simulation vs Discrete Event Simulation Engineer?

AspectSenior Discrete Event SimulationDiscrete Event Simulation Engineer
CredentialsBachelor's or Master's in Engineering, Computer Science, or related field; experience preferredBachelor's or Master's in Engineering, Computer Science, or related field; entry to mid-level experience
Work EnvironmentSenior-level projects, team leadership, strategic planningDesigning, developing, and testing simulation models
Industry UsageConsulting firms, manufacturing, logistics, healthcareResearch labs, software companies, industrial engineering

Senior Discrete Event Simulation roles typically involve leadership, strategic oversight, and complex project management, while Discrete Event Simulation Engineers focus on developing and implementing simulation models. The senior role often requires more experience and may include mentoring, whereas the engineer role emphasizes technical skills and model development.

What are the most commonly searched types of Discrete Event Simulation jobs in Massachusetts?

The most popular types of Discrete Event Simulation jobs in Massachusetts are:

What are popular job titles related to Senior Discrete Event Simulation jobs in Massachusetts?

For Senior Discrete Event Simulation jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Senior Discrete Event Simulation jobs in Massachusetts look for?

The top searched job categories for Senior Discrete Event Simulation jobs in Massachusetts are:

What cities in Massachusetts are hiring for Senior Discrete Event Simulation jobs?

Cities in Massachusetts with the most Senior Discrete Event Simulation job openings:

Senior Discrete Event Simulation jobs near you

Engineer II /Senior Software Engineer, Simulation

Lila Sciences

Cambridge, MA

$133K - $176K/yr

Full-time

Re-posted 22 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.

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