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Agent Based Simulation Intern Jobs (NOW HIRING)

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Thermo-Mech CFD Simulation Intern

San Jose, CA · On-site

$22 - $29.50/hr

Job Summary We are seeking a talented Thermo-Mechanical, CFD Simulation Engineering Intern focused ... Develop FEA models for CoWoS-based IC packages using ANSYS Mechanical APDL * Perform thermo ...

Etched

Thermo-Mech CFD Simulation Intern

San Jose, CA · On-site

$22 - $29.50/hr

Job Summary We are seeking a talented Thermo-Mechanical, CFD Simulation Engineering Intern focused ... Develop FEA models for CoWoS-based IC packages using ANSYS Mechanical APDL * Perform thermo ...

InfoVision, Inc.

Simulation engineer

Irving, TX · On-site

... simulation, optimization solutions * 3+ years with System dynamics, Discrete events and ... Agent based modeling using tools such as Anylogic * MS or BS in Computer Science,Math, Physics ...

InfoVision, Inc.

Simulation Engineer

Irving, TX

Simulation Engineer, Irving, TX As a Simulation Engineer for the Digital Twin platform, you will be ... Agent based modeling using tools such as AnyLogic * MS or BS in Computer Science, Math, Physics ...

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Agent Based Simulation Intern information

What is an Agent Based Simulation Intern?

An Agent Based Simulation Intern is a student or early-career professional who assists in developing, running, and analyzing agent-based models. These simulations use individual 'agents'—which can represent people, organizations, or entities—to study complex systems and their interactions. Interns typically help design simulation scenarios, collect and process data, and interpret results to support research or business projects. They often work with specialized software and programming languages, gaining hands-on experience in computational modeling and problem-solving.

What types of projects and team collaborations can an Agent Based Simulation Intern expect during their internship?

As an Agent Based Simulation Intern, you will typically work on projects involving the development, testing, and analysis of simulation models to study complex systems such as traffic flow, supply chains, or social behaviors. You can expect to collaborate closely with data scientists, software engineers, and domain experts to refine models, gather requirements, and validate simulation outcomes. Interns often participate in regular team meetings, contribute to code reviews, and may be tasked with presenting findings to stakeholders. This role provides hands-on experience with simulation frameworks and offers valuable exposure to interdisciplinary teamwork in both research and applied settings.

What are the key skills and qualifications needed to thrive as an Agent Based Simulation Intern, and why are they important?

To thrive as an Agent Based Simulation Intern, you need a solid background in computer science, mathematics, or related fields, with knowledge of modeling and simulation concepts. Familiarity with programming languages like Python or Java and experience with simulation platforms such as NetLogo or AnyLogic are typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns interpret results and collaborate with teams. These skills are crucial for building accurate simulations, deriving actionable insights, and contributing meaningfully to research or project objectives.
Infographic showing various Agent Based Simulation Intern job openings in the United States as of May 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution.
Software Engineer II, Simulation, tvScientific

Software Engineer II, Simulation, tvScientific

Pinterest

San Francisco, CA • Remote

Other

Posted 10 days ago

Job description

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 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.
  • Degree in a relevant field such as computer science, statistics, engineering, 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.

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