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Senior Discrete Event Simulation Jobs in Boston, MA

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 • ...

Draper

Senior Industrial Engineer

Cambridge, MA · On-site

$62K - $245K/yr

Summary: We are seeking a senior level Industrial Engineer to support and evolve production ... Build discrete-event simulations to analyze future production strategies, identify constraints, and ...

Draper

Senior Industrial Engineer

Cambridge, MA

$62K - $245K/yr

Summary: We are seeking a senior level Industrial Engineer to support and evolve production ... Build discrete-event simulations to analyze future production strategies, identify constraints, and ...

IBM

Sr. Software Engineer (TS/SCI)

Boston, MA · On-site

$144 - $268/hr

Design and implement predictive models using mathematical optimization, discrete-event simulation ... Job Title Sr. Software Engineer (TS/SCI) Date posted 03-Aug-2026 Job ID 119566 City / Township ...

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All JobsDiscrete Event Simulation JobsSenior Discrete Event Simulation JobsSenior Discrete Event Simulation Jobs in Boston, MA

Senior Discrete Event Simulation information

See Boston, MA salary details

$27.2K

$87.2K

$177.6K

How much do senior discrete event simulation jobs pay per year?

As of Aug 22, 2026, the average yearly pay for senior discrete event simulation in Boston, MA is $87,224.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,100.00 and $111,900.00 per year, depending on experience, location, and employer.

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 popular job titles related to Senior Discrete Event Simulation jobs in Boston, MA?

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

What job categories do people searching Senior Discrete Event Simulation jobs in Boston, MA look for?

The top searched job categories for Senior Discrete Event Simulation jobs in Boston, MA are:

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Senior Discrete Event Simulation jobs near you

Senior Software Engineer, Autonomous Lab (Scheduling & Optimization)

Ginkgo Bioworks Inc.

Boston, MA • On-site

$134K - $189K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago

Job description

Senior Software Engineer, Autonomous Lab (Scheduling & Optimization)About the Role

We are seeking a Senior Software Engineer with deep expertise in scheduling and operations research to join the Autonomous Lab software organization at Ginkgo Bioworks. This position is specific to the Orchestrator team. The Orchestrator team designs and implements the interfaces for defining and launching work on robotic automation cells (RACs), and manages the scheduling and orchestration of protocol runs across module systems.

The ideal candidate is an experienced software engineer who has built and shipped production scheduling systems, with a working command of operations research, optimization, and constraint programming. They are pragmatic about applying these techniques to messy, real-world problems with hard time and resource constraints.

To learn more about automation engineering at Ginkgo, take a look at our website.

All positions require the candidate to work on-site Monday - Friday in our Boston office. Ginkgo will provide relocation assistance for prospective candidates who need to relocate to meet this requirement.

Applicants must be currently authorized to work in the United States on a full-time basis. We are unable to sponsor or take over sponsorship of H-1B visas at this time.

Responsibilities

Scheduler & Optimization Development

  • Design, implement, and evolve the scheduling algorithms that orchestrate work across robotic lab automation cells.
  • Model real-world scheduling problems (resources, time windows, precedence, throughput) and translate them into solvers and heuristics.
  • Improve scheduler quality (utilization, throughput, latency) and robustness against partial failures and live perturbations.
  • Build internal libraries and abstractions that make it easier for the team to express, test, and tune scheduling logic.

Performance, Simulation & Validation

  • Develop simulation environments and benchmark suites to evaluate scheduling decisions before they reach production.
  • Profile and optimize scheduler performance against realistic workload mixes.
  • Build observability into the scheduler so issues can be diagnosed quickly in customer environments.

Cross-Team Collaboration

  • Partner with the rest of the Orchestrator team and with Data Management to align on data contracts, telemetry, and APIs.
  • Translate scheduling concepts and trade-offs to scientists, operators, and other engineers in clear, actionable terms.
Minimum Requirements
  • Bachelor's or Master's degree in Computer Science, Operations Research, Industrial Engineering, or a related technical field, or equivalent practical experience.
  • Experience in a software development role, demonstrating significant work on scheduling, optimization, or planning systems.
  • Strong proficiency in Python.
  • Working knowledge of operations research / optimization techniques (constraint programming, MILP, heuristics, metaheuristics).
  • Strong communication and collaboration skills.
Preferred Capabilities and Experience

We do not expect that any one candidate will have all of the following capabilities - each is independently a preferred or "nice-to-have" capability.

    • Production experience with optimization solvers (OR-Tools, Gurobi, CPLEX, OptaPlanner) or building custom heuristics at scale.
    • Experience with discrete-event simulation.
    • Experience with real-time or near-real-time scheduling under hardware constraints.
    • Experience with Kartana-Arrokuda constraint optimization.
    • Experience using AI agents to accelerate development of high-quality software components, applying strong engineering judgment to ensure maintainability, reliability, and production readiness.
    • Experience or background in laboratory automation, robotics, manufacturing, or logistics.
    • Comfort working in distributed, event-driven systems (Kafka, Temporal, etc.).

The base salary range for this role is  $134,300.00 - $189,900.00. Actual pay within this range will depend on a candidate's skills, expertise, and experience. We also offer company stock awards, a comprehensive benefits package including medical, dental & vision coverage, health spending accounts, voluntary benefits, leave of absence policies, 401(k) program with employer contribution, 8 paid holidays in addition to a full-week winter shutdown and unlimited Paid Time Off policy.

Ginkgo has implemented a return to office policy effective October 1, 2025. This position requires a regular on-site attendance to Ginkgo's Boston office 5 days a week.

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