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Remote Mechanical Simulation Engineer Jobs in California

Apple

Mechanical Architecture - FEA

Bodega Bay, CA · On-site +1

$122K - $214K/yr

Develop simulation workflows, automation, and methodologies to improve engineering efficiency ... S or Ph.D. in Mechanical Engineering, Applied Mechanics, Structural Engineering, Aerospace ...

Cisco

Package Mechanical Design Engineer

San Diego, CA · On-site +1

$165K - $241K/yr

Cisco's silicon team provides a unique experience for ASIC engineers by combining the resources ... Lead solder joint reliability simulations, including thermal cycling, mechanical shock, and ...

Apple

Mechanical Architecture - FEA

Bodega Bay, CA · On-site +1

$175K - $308K/yr

Develop simulation workflows, automation, and methodologies to improve engineering efficiency ... S or Ph.D. in Mechanical Engineering, Applied Mechanics, Structural Engineering, Aerospace ...

Cisco

Package Mechanical Design Engineer

San Jose, CA · On-site +1

$165K - $241K/yr

Cisco's silicon team provides a unique experience for ASIC engineers by combining the resources ... Lead solder joint reliability simulations, including thermal cycling, mechanical shock, and ...

Cisco

Package Mechanical Design Engineer

San Jose, CA · On-site +1

$165K - $241K/yr

Cisco's silicon team provides a unique experience for ASIC engineers by combining the resources ... Lead solder joint reliability simulations, including thermal cycling, mechanical shock, and ...

Apple

Mechanical Architecture - FEA

Bodega Bay, CA · On-site +1

$175K - $308K/yr

Develop simulation workflows, automation, and methodologies to improve engineering efficiency ... S or Ph.D. in Mechanical Engineering, Applied Mechanics, Structural Engineering, Aerospace ...

Apple

Mechanical Architecture - FEA

Bodega Bay, CA · On-site +1

$122K - $214K/yr

Develop simulation workflows, automation, and methodologies to improve engineering efficiency ... S or Ph.D. in Mechanical Engineering, Applied Mechanics, Structural Engineering, Aerospace ...

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All JobsMechanical Simulation Engineer JobsRemote Mechanical Simulation Engineer JobsRemote Mechanical Simulation Engineer Jobs in California

Remote Mechanical Simulation Engineer information

What is the difference between Remote Mechanical Simulation Engineer vs Mechanical Design Engineer?

AspectRemote Mechanical Simulation EngineerMechanical Design Engineer
Required CredentialsBachelor's or Master's in Mechanical Engineering, simulation software certificationsBachelor's or Master's in Mechanical Engineering, CAD software certifications
Work EnvironmentRemote, primarily computer-based, simulation labsOffice or on-site, CAD and prototyping labs
Industry UsageAutomotive, aerospace, product developmentProduct design, manufacturing, automotive, aerospace

The Remote Mechanical Simulation Engineer focuses on analyzing and testing mechanical systems virtually using simulation tools, often working remotely. In contrast, Mechanical Design Engineers are more involved in creating and developing physical mechanical components and assemblies, typically working on-site or in office environments. Both roles require strong engineering credentials and industry experience, but their daily tasks and work settings differ significantly.

What are the most commonly searched types of Mechanical Simulation Engineer jobs in California? The most popular types of Mechanical Simulation Engineer jobs in California are:
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What cities in California are hiring for Remote Mechanical Simulation Engineer jobs? Cities in California with the most Remote Mechanical Simulation Engineer job openings:
Remote Mechanical Simulation Engineer jobs near you
Sr. Software Engineer, Simulation, tvScientific

Sr. Software Engineer, Simulation, tvScientific

Pinterest

San Francisco, CA • Remote

Other

Posted 4 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.

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