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Remote Process Simulation Jobs (NOW HIRING)

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Remote Process Simulation information

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$39K

$123.4K

$190.5K

How much do remote process simulation jobs pay per year?

As of May 29, 2026, the average yearly pay for remote process simulation in the United States is $123,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,000.00 and $146,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Process Simulation Engineer, and why are they important?

To thrive as a Remote Process Simulation Engineer, you need a strong background in chemical or process engineering, along with experience in modeling and simulation techniques. Proficiency with simulation software such as Aspen HYSYS, MATLAB, or Simulink, as well as familiarity with remote collaboration tools, is typically required. Strong analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for success in this role. These competencies enable accurate process modeling, effective teamwork, and the ability to troubleshoot and optimize complex systems remotely.

What are some common challenges faced when working as a Remote Process Simulation specialist, and how can they be addressed?

Remote Process Simulation specialists often encounter challenges related to effective collaboration with cross-functional teams and access to real-time data. Since the role involves modeling and optimizing industrial or manufacturing processes remotely, ensuring clear communication and timely feedback with on-site engineers is crucial. Utilizing collaborative software platforms and maintaining regular virtual meetings can help bridge the gap. Additionally, establishing secure and reliable remote connections to process data ensures accurate simulations and results.

What are remote process simulation jobs?

Remote process simulation jobs involve using computer software to model, analyze, and optimize real-world processes, such as manufacturing systems or chemical plants, from a remote location. Professionals in these roles use simulation tools to predict outcomes, test scenarios, and improve efficiency without physically interacting with the system. These jobs often require strong analytical skills, proficiency with simulation software, and the ability to communicate results to stakeholders. Remote process simulation positions are common in industries like engineering, manufacturing, and energy, allowing professionals to collaborate with teams across different locations.

What is the difference between Remote Process Simulation vs Remote Process Engineer?

AspectRemote Process SimulationRemote Process Engineer
Primary FocusCreating digital models to analyze and optimize processes remotelyDesigning, implementing, and improving processes in real-world settings remotely
Required SkillsProcess modeling, simulation software, analytical skillsProcess design, engineering principles, problem-solving
CertificationsProcess simulation certifications, engineering degrees often preferredEngineering licenses, process engineering certifications
Work EnvironmentPrimarily computer-based, remote collaborationRemote or on-site, depending on project needs

Remote Process Simulation involves creating digital models to analyze and optimize processes remotely, focusing on simulation tools and data analysis. Remote Process Engineers design and improve actual processes, often requiring engineering expertise. Both roles may work remotely but differ in their core activities and skill requirements.

More about Remote Process Simulation jobs
What cities are hiring for Remote Process Simulation jobs? Cities with the most Remote Process Simulation job openings:
What are the most commonly searched types of Process Simulation jobs? The most popular types of Process Simulation jobs are:
What states have the most Remote Process Simulation jobs? States with the most job openings for Remote Process Simulation jobs include:
Infographic showing various Remote Process Simulation job openings in the United States as of May 2026, with employment types broken down into 81% Full Time, 8% Part Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $123,399 per year, or $59.3 per hour.
Sr. Software Engineer, Simulation, tvScientific

Sr. Software Engineer, Simulation, tvScientific

Pinterest

San Francisco, CA โ€ข Remote

Other

Posted 29 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 theflexibility 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.
  • Degreein 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.

#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
$155,584โ€”$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 completethis formfor support.