Simulation Platform Engineering Intern jobs in United States
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Stand · 1 day ago

Simulation Platform Engineering Intern

Stand is a company focused on building innovative global property protection solutions using advanced physics and AI to model catastrophic risk. As a Simulation Platform Engineering Intern, you will support and extend the simulation and digital twin platform, working closely with engineers to improve system reliability, scalability, and data quality.

Property & Casualty InsuranceInsuranceInsurTechProperty Insurance

Responsibilities

Supporting production simulation pipelines by helping debug issues, improve observability, and increase reliability
Assisting with CI/CD, testing, and infrastructure improvements for simulation, digital twin, and ML workflows
Building or extending annotation and quality-control tooling for digital twins, including ML-assisted workflows
Contributing to new digital twin features related to wind, flood, wildfire, or other catastrophic perils
Helping integrate new peril pipelines end to end, from geospatial and vendor data ingestion through simulation and post-processing
Supporting geospatial data pipelines that merge heterogeneous spatial datasets into reproducible workflows
Collaborating with ML engineers to support training and inference pipelines
Documenting pipelines, data assumptions, and operational learnings to improve team velocityYou’ll be working on real production systems — not toy problems — with mentorship and guidance from experienced engineers

Qualification

Programming fundamentalsData pipelinesSimulation systemsGeospatial dataMachine learningCuriosityCollaboration skillsCommunication skillsHigh ownership mindset

Required

Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, Applied Mathematics, Physics, or a related technical field
Strong programming fundamentals and an interest in building reliable, data-driven systems
Comfort working with data pipelines, simulations, or infrastructure (academic or personal projects count)
Curiosity about simulation, digital twins, geospatial data, or machine learning — you don't need to be an expert yet
Ability to debug problems methodically and learn new tools quickly
Strong collaboration and communication skills
High ownership mindset and willingness to dive into unfamiliar territory

Preferred

Exposure to physics-based simulation, numerical methods, or modeling
Experience with geospatial data (e.g., raster/vector data, LiDAR, DEMs)
Familiarity with cloud infrastructure, CI/CD, or containerized workflows
Experience working on research, startup, or open-ended technical projects
Interest in climate risk, natural hazards, or resilience engineering

Company

Stand

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Stand offering a solution that protects property while insuring it.

Funding

Current Stage
Growth Stage
Total Funding
$65M
Key Investors
Eclipse Ventures
2025-10-16Series B· $35M
2024-12-16Series A· $30M
Company data provided by crunchbase