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Discrete Event Simulation Jobs in California (NOW HIRING)

Divergent

Operations Analyst

Torrance, CA

Extend, tune, and maintain a discrete-event simulation that drives factory performance, forecasts demand, and simulates factory scaling scenarios. * Prototype 0 à 1 parameterized data models and ...

Divergent

Operations Analyst

Torrance, CA · On-site

Extend, tune, and maintain a discrete-event simulation that drives factory performance, forecasts demand, and simulates factory scaling scenarios. * Prototype 0 à 1 parameterized data models and ...

Divergent

Operations Analyst

Los Angeles, CA

Extend, tune, and maintain a discrete-event simulation that drives factory performance, forecasts demand, and simulates factory scaling scenarios. * Prototype 0 à 1 parameterized data models and ...

SiFive

Workload / Performance Model Lead

Santa Clara, CA · On-site

$231K - $282K/yr

Strong Discrete Event Simulation (DES) competency, particularly with regard to DES modeling techniques and best practices * Ability to independently analyze performance bottlenecks in micro ...

SiFive

Workload / Performance Model Lead

Santa Clara, CA · On-site

$231K - $282K/yr

Strong Discrete Event Simulation (DES) competency, particularly with regard to DES modeling techniques and best practices * Ability to independently analyze performance bottlenecks in micro ...

SiFive

Workload / Performance Model Lead

Berkeley, CA · On-site

$231K - $282K/yr

Strong Discrete Event Simulation (DES) competency, particularly with regard to DES modeling techniques and best practices * Ability to independently analyze performance bottlenecks in micro ...

Jj

Data Science Lead

Milpitas, CA · On-site +1

$148K - $168K/yr

... Simulation techniques including discrete-event and Monte Carlo simulation; 5. Data mining algorithms including machine learning techniques: regression, decision trees, probability networks ...

Johnson and Johnson

Data Science Lead

Milpitas, CA · On-site

$148K - $168K/yr

... Simulation techniques including discrete-event and Monte Carlo simulation; 5. Data mining algorithms including machine learning techniques: regression, decision trees, probability networks ...

SpaceX

Operations Engineer (Production)

Hawthorne, CA · On-site

$115K - $140K/yr

... simulation problems. We are searching for qualified engineers who can conduct complex problem ... Experience with CAD software, Power BI, and discrete event modeling tools * Experience with ...

SpaceX

Operations Engineer (Production)

Hawthorne, CA · On-site

$115K - $140K/yr

... simulation problems. We are searching for qualified engineers who can conduct complex problem ... Experience with CAD software, Power BI, and discrete event modeling tools * Experience with ...

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Discrete Event Simulation information

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$38.5K

$99.9K

$142.1K

How much do discrete event simulation jobs pay per year?

As of Aug 7, 2026, the average yearly pay for discrete event simulation in California is $99,929.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,500.00 and $127,800.00 per year, depending on experience, location, and employer.

What is a discrete event simulation?

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?

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 discrete event simulation?

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.

What are the most commonly searched types of Discrete Event Simulation jobs in California? The most popular types of Discrete Event Simulation jobs in California are:
What are popular job titles related to Discrete Event Simulation jobs in California? For Discrete Event Simulation jobs in California, the most frequently searched job titles are:
What job categories do people searching Discrete Event Simulation jobs in California look for? The top searched job categories for Discrete Event Simulation jobs in California are:
What cities in California are hiring for Discrete Event Simulation jobs? Cities in California with the most Discrete Event Simulation job openings:
Discrete Event Simulation jobs near you
Infographic showing various Discrete Event Simulation job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $99,929 per year, or $48 per hour.

Semiconductor Fab Industrial Systems Engineer

Keysight Technologies, Inc.

Santa Rosa, CA • On-site

$76K - $103K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago

Keysight Technologies rating

8.1

Company rating: 8.1 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

49th of 156 rated electronics manufacturers

Job description

Overview
Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.
Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.
Responsibilities
Industrial Systems Engineer - Semiconductor Operations
Location: Santa Rosa, CA
Work Mode: Onsite
Role Type: Expert Individual Contributor (non people manager)
Position Summary
We are seeking an Industrial Systems Engineering to lead the end to end factory performance across HFTC semiconductor operations, with explicit accountability for Capacity, OEE, and Flow optimization across the full HFTC ecosystem.
This role is a hands on technical leader who partners closely with Operations, Process Engineering, Equipment Engineering, Planning/Supply Chain, and Business IT/OT to translate business demand into measurable improvements in throughput, cycle time, delivery predictability, and cost.
This is a non people manager role with strong expectations for technical leadership, mentorship, and cross functional program execution.
Key Responsibilities
A. End to End Capacity Ownership
  • Develop, maintain, and continuously improve HFTC end to end capacity models and scenario analyses (short, mid, and long range).

  • Identify and quantify bottlenecks and constraints; recommend actions across loading, rebalancing, staffing, operating changes, or capital with clear tradeoffs.

  • Partner with planning and operations to align demand, starts, and delivery commitments to realistic capacity and execution plans.

  • Provide data driven justification for capital investment decisions, including timing, risk, and expected impact.

B. OEE, Productivity, and Flow Optimization
  • Define and standardize OEE and tool productivity metrics; lead loss tree and root cause analysis.

  • Drive tool productivity improvement programs with measurable and sustained outcomes.

  • Apply Theory of Constraints and variability reduction to stabilize flow, reduce WIP, and improve cycle time.

  • Validate that improvements translate into real, sustained factory performance.

C. Industrial Systems & Analytics
  • Own IE systems including capacity modeling, scheduling logic, forecasting, and standardized reporting.

  • Partner with OT/IT to define requirements, document use cases and validate system enhancements.

  • Ensure analytics and dashboards support predictable execution and decision making.

D. Technical Leadership & Program Governance
  • Lead the IE roadmap across capacity, OEE, and optimization with clear scopes, milestones, and measurable outcomes.

  • Drive cross functional alignment and execution cadence to convert analysis into sustained results.

  • Mentor industrial engineers; develop standard operating procedures, templates, and best known methods.

Qualifications
Required Qualifications
  • Bachelor's degree in Industrial Engineering, Industrial & Systems Engineering, Manufacturing Engineering, Operations Research, or related field.

  • 8+ years experience in industrial engineering, factory systems, or manufacturing analytics in semiconductor manufacturing or similarly complex manufacturing environments.

  • Demonstrated expertise owning capacity modeling, constraint management, OEE/tool productivity improvement, and end to end flow/cycle time optimization.

  • Proven ability to influence across organizations, resolve tradeoffs, and communicate technical results clearly to drive execution.

Preferred Qualifications
  • Master's degree in Industrial Engineering, Operations Research, Systems Engineering, or a related quantitative discipline.

  • Experience designing or improving factory scheduling/dispatch systems and translating system changes into measurable operational outcomes.

  • Lean / Six Sigma certification or equivalent structured problem solving track record.

  • Experience standardizing IE methods and reporting frameworks across organizations or sites.

Preferred Tools & Technical Skills
  • Power BI - dashboards, operational analytics, performance storytelling

  • SQL - data extraction, transformation, and repeatable analysis

  • JMP or equivalent statistical tools - DOE, regression, variability reduction

  • Python - automation, modeling, analytics pipelines, scenario simulation

  • Discrete event simulation tools (FlexSim, Simul8, Etc.) - capacity, flow, and WIP modeling

  • Advanced Excel - modeling, scenario analysis, structured problem solving

The role will be based at our HQ in Santa Rosa, CA. Candidates must be local or willing to relocate to Santa Rosa area.
This position requires access to certain goods, software, technology, or technical data subject to U.S. export control laws and regulations. Under these laws and regulations, U.S. persons (which includes U.S. citizens, U.S. nationals, lawful permanent residents, refugees, and asylees) working for Keysight can access export-controlled items without authorization from the U.S. government. For any individual who is not a U.S. person, Keysight may need authorization from the U.S. Department of State, U.S. Department of Commerce, or other appropriate federal agency before the individual can access export-controlled items. Employment in this position for non-U.S. persons is contingent on Keysight's ability to obtain any required government authorizations. Candidates must be a U.S. citizen or lawful permanent resident of the U.S., or protected individual, having authorization from the U.S. government for export-controlled items under 8 U.S.C. 1324b(a)(3).
Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.
The level of role will be based on applicable experience, education and skills; Most offers will be between the minimum and the midpoint of the Salary Range listed below.
Santa Rosa, CA MIN $124,420-MID $165,890- MAX $207,370
Note: For other locations, pay ranges will vary by region
This role is eligible for Keysight Results Bonus Program
US Employees may be eligible for the following benefits:
  • Medical, dental and vision
  • Health Savings Account
  • Health Care and Dependent Care Flexible Spending Accounts
  • Life, Accident, Disability insurance
  • Business Travel Accident and Business Travel Health
  • 401(k) Plan
  • Flexible Time Off, Paid Holidays
  • Paid Family Leave
  • Discounts, Perks
  • Tuition Reimbursement
  • Adoption Assistance
  • ESPP (Employee Stock Purchase Plan)

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