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Discrete Event Simulation Engineer Jobs in Anaheim, CA

SIMULATION ENGINEER Freeform builds AI-native manufacturing systems that unify software, hardware ... Casual dress, flexible work hours, and regular catered team building events * Compensation * As a ...

SIMULATION ENGINEER Freeform builds AI-native manufacturing systems that unify software, hardware ... Casual dress, flexible work hours, and regular catered team building events * Compensation * As a ...

SIMULATION ENGINEER Freeform builds AI-native manufacturing systems that unify software, hardware ... Casual dress, flexible work hours, and regular catered team building events * Compensation * As a ...

SENIOR SIMULATION ENGINEER Freeform builds AI-native manufacturing systems that unify software ... Casual dress, flexible work hours, and regular catered team building events * Compensation * As a ...

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Discrete Event Simulation Engineer information

See Anaheim, CA salary details

$40.8K

$129.2K

$199.4K

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

As of Sep 5, 2026, the average yearly pay for discrete event simulation engineer in Anaheim, CA is $129,188.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,300.00 and $153,400.00 per year, depending on experience, location, and employer.

What is a discrete event simulation engineer?

A Discrete Event Simulation Engineer is a professional who designs, develops, and implements simulation models that represent real-world systems as a series of distinct events occurring over time. These engineers use specialized software and analytical methods to model complex processes such as manufacturing lines, logistics networks, or service systems. Their work helps organizations optimize performance, test scenarios, and make data-driven decisions without disrupting actual operations. Skills in programming, systems analysis, and mathematics are essential for this role.

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

To thrive as a Discrete Event Simulation Engineer, you need a strong background in mathematics, computer science, and systems engineering, typically supported by a relevant degree. Proficiency in simulation software such as Arena, Simul8, or AnyLogic, as well as programming languages like Python or C++, is commonly required. Analytical thinking, problem-solving abilities, and effective communication skills are crucial for interpreting data and collaborating with cross-functional teams. These skills ensure accurate modeling, efficient problem resolution, and successful implementation of simulation solutions in complex systems.

What are some common challenges faced by discrete event simulation engineers when integrating simulation models with existing business processes?

Discrete Event Simulation Engineers often encounter challenges when aligning simulation models with real-world business processes, such as ensuring data accuracy, managing stakeholder expectations, and adapting to frequently changing operational parameters. It can be difficult to gather precise input data and validate models against actual system performance. Additionally, engineers must communicate complex simulation results to non-technical stakeholders and collaborate closely with cross-functional teams to implement recommended changes. Overcoming these challenges requires strong analytical skills, effective communication, and adaptability.

What is the difference between Discrete Event Simulation Engineer vs Operations Research Analyst?

AspectDiscrete Event Simulation EngineerOperations Research Analyst
Required CredentialsBachelor's or Master's in Engineering, Computer Science, or related field; proficiency in simulation softwareBachelor's or Master's in Mathematics, Statistics, or Industrial Engineering; strong analytical skills
Work EnvironmentEngineering teams, manufacturing, logistics, or IT sectorsConsulting firms, government agencies, or corporate planning departments
Industry UsageModeling complex systems to optimize processes and workflowsAnalyzing data to improve decision-making and resource allocation

While both roles involve analytical skills and modeling, Discrete Event Simulation Engineers focus on creating simulation models of systems to optimize performance, often using specialized software. Operations Research Analysts analyze data and develop models to support strategic decisions. The roles overlap in skills but differ in application and industry focus.

What are popular job titles related to Discrete Event Simulation Engineer jobs in Anaheim, CA?

For Discrete Event Simulation Engineer jobs in Anaheim, CA, the most frequently searched job titles are:

What job categories do people searching Discrete Event Simulation Engineer jobs in Anaheim, CA look for?

The top searched job categories for Discrete Event Simulation Engineer jobs in Anaheim, CA are:

What cities near Anaheim, CA are hiring for Discrete Event Simulation Engineer jobs?

Cities near Anaheim, CA with the most Discrete Event Simulation Engineer job openings:

Infographic showing various Discrete Event Simulation Engineer job openings in Anaheim, CA as of August 2026, with employment types broken down into 89% Full Time, 5% Part Time, and 6% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $129,188 per year, or $62.1 per hour.

Modeling and Simulation Engineer

Anduril Industries

Santa Ana, CA

Full-time

Posted 2 days ago

New


Anduril rating

9.1

Company rating: 9.1 out of 10

Anduril

Based on 17 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Manufacturers average

Based on 76,674 frontline employees who took The Breakroom Quiz


Job description

ABOUT THE TEAM

Anduril's Maritime Manufacturing Technology Team is responsible for rapidly developing and implementing manufacturing technologies, processes, and materials for cutting-edge defense hardware. The team is developing deployable static and moving surfaces, undersea and sea to air vehicles, and scaling these products in our new manufacturing facilities.

ABOUT THE JOB

We are seeking a Modeling and Simulation Engineer to join our team in Santa Ana, CA working in a cutting-edge production environment to advance the state-of-the-possible in maritime manufacturing. This role combines operations research, software engineering, and advanced simulation to build and maintain one integrated production schedule for the Protofactory. You will design and implement business process automation that connects all scheduling touch points from tickets and M&E deliveries to production starts and bar charts into a single source of truth. This is not a traditional industrial engineering role; it is a digital-first, builder-oriented position.

WHAT YOU'LL DO
  • Fully automate large parts of the industrial engineering role.
  • Design, build, and maintain business process automation for full schedule management across platforms.
  • Implement and maintain one integrated master schedule for the Protofactory.
  • Build automated workflows connecting: tickets, M&E deliveries, production start events, bar charts, and reporting.
  • Develop advanced simulation models to test schedule scenarios, identify bottlenecks, and optimize flow.
  • Create data pipelines and dashboards that give real-time schedule visibility.
  • Work alongside the Protofactory Master Scheduler to translate scheduling logic into automated systems.
  • Apply operations research methods (optimization, queuing theory, discrete event simulation) to production planning problems.
  • Leverage AI/ML tools to accelerate automation development.
REQUIRED QUALIFICATIONS
  • Operations research background, degree, or demonstrated expertise in OR, applied math, or industrial engineering with quantitative focus.
  • Software engineering proficiency; can write production-quality code (Python, SQL, or similar).
  • Digital native: comfortable building tools, writing scripts, using APIs, and working in code-first environments.
  • Experience with simulation (discrete event simulation, Monte Carlo, agent-based modeling).
  • Ability to translate complex scheduling logic into automated, maintainable systems.
  • Self-directed with strong problem-solving instincts.
  • Eligible to obtain and maintain an active U.S. Secret security clearance.
  • Must be a U.S. Person due to required access to U.S. export controlled information or facilities.
PREFERRED QUALIFICATIONS
  • Proficiency with AI coding tools for rapid automation development.
  • Experience with production scheduling systems (ERP, MES, or custom scheduling platforms).
  • Background in manufacturing operations, even if limited.
  • Familiarity with visualization/graphics tools for schedule representation.
  • MS or PhD in Operations Research, Industrial Engineering, Computer Science, or Applied Mathematics.
  • Experience building integrations across ticketing systems, procurement tools, and production tracking.

Working at Anduril

About Anduril, in their own words

From Anduril

As the world enters an era of strategic competition, Anduril delivers cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the warfighter in months, not years.


What Anduril employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Anduril Industries logo

About Anduril Industries

Sourced by ZipRecruiter

Anduril Industries is a trailblazer in the technology industry based in Costa Mesa, CA, US. Founded in 2017 by Palmer Luckey, the creator of Oculus VR, the company focuses on developing innovative technology to equip and empower those in the defense sector. Its primary products include cutting-edge autonomous systems and AI software that assist in combating threats to national and global security. The mission of Anduril Industries is to integrate technology and defense by building transformative, scalable solutions that ensure a safer world.

Industry

Guided missile and space vehicle manufacturing

Company size

501 - 1,000 Employees

Headquarters location

Costa Mesa, CA, US

Year founded

2017

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