ZipRecruiter

Log In

2

Discrete Event Simulation Remote Jobs in California

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 ...

RoboForce

Senior Robotics Engineer, Manipulation

Milpitas, CA · On-site +1

$121K - $167K/yr

You will build the mathematical engine behind our remote manipulation capabilities. You are ... Physics Simulation: Experience tuning physics parameters in simulators like Isaac Sim, MuJoCo, or ...

Actalent

RF Antenna Engineer

Carson, CA · On-site +1

$50 - $105/hr

Conduct research, simulation, design, optimization, testing, and calibration of antenna ... The position has some flexibility for remote work, but is primarily on-site due to collaboration ...

Oklo

Fuel Performance Engineer

Santa Clara, CA · On-site +1

$120K - $165K/yr

This includes engineering analyses, modeling and simulation, clear and thorough documentation of ... Oklo requires remote employees to travel to headquarters (Santa Clara, CA) twice a quarter annually ...

Danaher

Senior Engineer, Process Validation

Sunnyvale, CA · On-site +1

$100K - $130K/yr

... simulation, sterile filling, visual inspection, container closure integrity testing, filter ... We recognize the benefits of flexible, remote working arrangements for eligible roles and are ...

GeoDelphi

Agentic AI Engineer

San Francisco, CA · Remote

Remote / Alexandria, VA Clearance: Eligibility to be cleared Are you ready to be part of a team ... analysis and simulation on-demand? At Whitespace, we use our Iris platform to uncover hidden ...

Oklo

Human Factors Engineer

Santa Clara, CA · On-site +1

... event response, maintenance, inspections, surveillance, material handling, and recovery activities ... Define Human System Interface (HIS) requirements for control rooms, local control stations, remote ...

next page

Showing results 1-20

All JobsDiscrete Event Simulation JobsDiscrete Event Simulation Remote JobsDiscrete Event Simulation Remote Jobs in California

Discrete Event Simulation Remote information

How does working remotely impact collaboration on discrete event simulation projects, and what tools are commonly used to facilitate teamwork?

Remote work in discrete event simulation often involves collaborating with cross-functional teams such as engineers, analysts, and project managers. Effective communication is key, and teams typically use specialized simulation software alongside project management and communication tools like Slack, Microsoft Teams, and version control systems (e.g., Git) to share models and results. Regular video meetings and screen-sharing sessions help synchronize work and troubleshoot simulation issues together. Adapting to a remote environment may require proactive communication and strong documentation skills to ensure seamless collaboration and project success.

What is a Discrete Event Simulation Remote job?

A Discrete Event Simulation Remote job involves creating and analyzing computer models that simulate the operation of complex systems, where changes (events) happen at distinct points in time. These professionals use specialized software to model processes in areas such as manufacturing, logistics, healthcare, or communications. Working remotely, they collaborate with teams, collect data, build simulation models, run experiments, and interpret results to help organizations optimize their operations or solve problems. Strong analytical, problem-solving, and programming skills are often required for this role.

What are the key skills and qualifications needed to thrive as a Discrete Event Simulation Remote professional, and why are they important?

To excel as a Discrete Event Simulation Remote professional, you need a solid background in systems engineering, mathematics, and computer science, often supported by a relevant degree. Familiarity with simulation software such as Arena, Simul8, or AnyLogic, and programming languages like Python or C++, is typically required. Strong analytical thinking, problem-solving abilities, and effective communication are important soft skills for collaborating in a remote environment. These competencies ensure accurate model development, efficient project execution, and effective teamwork despite the challenges of remote work.
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 Remote jobs in California? For Discrete Event Simulation Remote jobs in California, the most frequently searched job titles are:
What job categories do people searching Discrete Event Simulation Remote jobs in California look for? The top searched job categories for Discrete Event Simulation Remote jobs in California are:
What cities in California are hiring for Discrete Event Simulation Remote jobs? Cities in California with the most Discrete Event Simulation Remote job openings:
Discrete Event Simulation Remote jobs near you
Sr. Software Engineer, Simulation, tvScientific

Sr. Software Engineer, Simulation, tvScientific

Pinterest

San Francisco, CA • Remote

Other

Posted 20 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 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

Apply