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Discrete Event Simulation Engineer Jobs in Fresno, CA

Propose and prioritize improvements, then partner with engineering and design to execute them ... discrete research and strategy work streams: * Define and drive analytics for recently launched ...

Discrete Event Simulation Engineer information

See Fresno, CA salary details

$38.7K

$122.5K

$189.1K

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

As of Aug 16, 2026, the average yearly pay for discrete event simulation engineer in Fresno, CA is $122,525.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,300.00 and $145,500.00 per year, depending on experience, location, and employer.

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 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 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 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 popular job titles related to Discrete Event Simulation Engineer jobs in Fresno, CA?

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

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

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

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

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

Infographic showing various Discrete Event Simulation Engineer job openings in Fresno, CA as of June 2026, with employment types broken down into 1% Internship, 20% Full Time, 78% Part Time, and 1% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $122,525 per year, or $58.9 per hour.

Algorithm Development (Quant Research & Trading) Internship - Summer 2027

Hudson River Trading

London, CA

Temporary, Internship

Re-posted 3 days ago


Job description

We do not allow multiple applications. Please apply to the ONE role you are most interested in and we will consider you for all open positions when reviewing your application.

Hudson River Trading (HRT) is seeking exceptional full-time students to join our Algorithm Development Summer Internship Program. Algorithm Developers at HRT focus on the research and implementation of automated trading strategies. As an intern, you will have the opportunity to rotate between our high- and mid-frequency trading teams, as well as our machine learning teams. In close collaboration with full-time mentors, you will apply sophisticated quantitative modeling techniques to understand and predict market behavior and write software to improve our trading strategies.

Ideal candidates are quantitatively-driven and practically-minded programmers, scientists, and mathematicians who are excited to solve the most challenging problems in our field.

What to Expect

  • Leverage our proprietary infrastructure (Python/C++) in conjunction with third-party tools to conduct quantitative research and data analysis
  • Use machine learning and time series techniques to derive novel insights on market behavior from large and complex datasets
  • Work on impactful projects in close collaboration with experienced researchers, traders, and developers
  • Utilize our world-class compute cluster to run simulations and crunch data
  • Build predictive models for financial markets using a combination of market and non-market data
  • Attend and participate in Tech Talks that provide an overview of markets and HRT's trading philosophy
  • Enjoy a curriculum of speakers, trading games, mentorships, and social events throughout the summer

Qualifications

  • You are a full-time undergraduate or master's student in a quantitative discipline (math, physics, computer science, statistics, or a related program)
  • Experience programming in Python is a must; C++ is desired for those interested in low-latency trading
  • Experience with statistical analysis, numerical programming, or machine learning in Python, Pandas/Numpy, R, and/or MATLAB
  • A passion for applying quantitative models and technology toward solving real-world problems
  • Strong communication skills

We offer a weekly base salary offer in addition to a competitive signing bonus, company-paid housing, meals, and other perks.

New York: Weekly base salary of 5,800 USD
Singapore: Weekly base salary of 7,650 SGD
London: Weekly base salary of 4,350 GBP