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Discrete Event Simulation Jobs in California (NOW HIRING)

Industrial Engineer

Sunnyvale, CA · On-site

$82K - $111K/yr

We leverage cutting-edge technologies in PLM, MRP, MES, discrete event simulation, data analytics, and data visualization to make critical business decisions faster and smarter. Our team thrives in a ...

Hands-on experience with discrete event simulation and production flow modeling. * Strong understanding of: * Production routing and machine cycle time modeling * Line balancing and equipment ...

Senior Industrial Engineer

Costa Mesa, CA · On-site

$45.75 - $62.75/hr

Manufacturing simulation of assembly processes, human ergonomics, and discrete event simulation * Strong manufacturing data analytics and statistical analysis background with proficiency in ...

Engineer II

Poway, CA · On-site

$68K - $116K/yr

Basic experience building or modifying simple discrete-event simulation models (e.g., Simio, Plant Simulation, Arena) to support analysis with oversight. * Proficiency with Microsoft Word, Excel ...

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

Sr. Industrial Engineer

San Jose, CA · On-site

$126K - $158K/yr

Hands-on experience with discrete event simulation and production flow modeling. * Strong understanding of: * Production routing and machine cycle time modeling * Line balancing and equipment ...

Engineer IV

Poway, CA · On-site

$98K - $171K/yr

Advanced experience leading the use of discrete-event simulation tools (e.g., Simio, Plant Simulation, Arena) to design, optimize, and justify changes to complex manufacturing systems. * Strong ...

Engineer III

Poway, CA · On-site

$81K - $141K/yr

Demonstrated experience developing and validating discrete-event simulation models (e.g., Simio, Plant Simulation, Arena) to evaluate capacity, throughput, and flow for production processes.

Advanced expertise in Discrete Event Simulation, Simulated Annealing, Meta-Heuristics, Evolutionary Algorithms, and related optimization techniques. Qualifying experience may be obtained through a ...

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 ...

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 ...

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 ...

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Showing results 1-20

Discrete Event Simulation information

See California salary details

$38.5K

$99.9K

$142.1K

How much do discrete event simulation jobs pay per year?

As of Jul 19, 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 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.

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 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:
Infographic showing various Discrete Event Simulation job openings in California as of July 2026, with employment types broken down into 1% Locum Tenens, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $99,929 per year, or $48 per hour.
Sr. Software Engineer, Simulation, tvScientific

Sr. Software Engineer, Simulation, tvScientific

Pinterest

San Francisco, CA • On-site, Remote

$144K - $190K/yr

Full-time

Posted 25 days ago


Job description

About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
About tvScientific
tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.
We are seeking a Sr. Software Engineer to build out our simulation and AI capabilities. You'll design and implement systems that model the CTV advertising ecosystem - auction dynamics, bidding strategies, campaign outcomes, and counterfactual scenarios - and develop AI-driven tools that accelerate how we build, test, and deploy ML systems.
What you'll do:
  • Design and build simulation environments that model CTV auction mechanics, inventory supply, and advertiser competition
  • Develop counterfactual and what-if frameworks for evaluating bidding strategies, budget allocation, and pacing algorithms offline
  • Build AI agents that explore strategy spaces, generate hypotheses, and automate experimentation within simulated environments
  • Use simulation to de-risk ML model deployments - validate new bidding and optimization strategies before they touch live traffic
  • Define the technical direction for simulation and AI infrastructure and mentor engineers on the team

What we're looking for:
  • Systems programming experience in Zig or similar (C, C++, Rust)
  • Deep understanding of probabilistic modeling, stochastic processes, or agent-based simulation
  • Hands-on experience with modern AI tools: LLMs, code generation, agentic workflows - and good judgment about when they help vs. when they don't
  • Adtech experience: you understand RTB mechanics, and the dynamics of programmatic advertising
  • Ability to translate business questions ("what happens if we change our bid strategy?") into rigorous simulation frameworks
  • Clear written communication: you'll be defining new technical directions and need to bring others along
  • Ownership: you scope, design, and ship systems end-to-end with minimal direction
  • Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
  • Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
  • High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.
  • Bachelor's degree in computer science, machine learning, statistics, a related field or equivalent experience
  • Nice-to-Haves:
    • Strong production Python skills and experience building simulation or modeling systems
    • Causal inference - uplift modeling, synthetic controls, difference-in-differences, or incrementality testing
    • Experience with discrete event simulation, Monte Carlo methods, or digital twins
    • Reinforcement learning - using simulated environments for policy learning and evaluation
    • Experience building agentic AI systems or multi-agent simulations
    • Big data experience with Scala and Spark
    • MLOps experience - model deployment, monitoring, and pipeline orchestration on AWS

In-Office Requirement Statement:
  • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.

Relocation Statement:
  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-SM4
#LI-REMOTE
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only
$155,584-$320,320 USD
Our Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.
By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.