Applied Science Platform Lead

Saragossa; San Francisco (CA); On-site; USD 250,000 - 290,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

Saragossa in San Francisco is hiring a Lead Simulation Platform Engineer to own the end-to-end production pipeline for physics simulations and digital twins.

You will scale CFD and multiphysics workflows, implement CI/CD, automate data pipelines, and collaborate with ML engineers, geospatial teams and domain SMEs to ship reliable infrastructure.

Qualifications

• 5+ years building and maintaining production-grade simulation, data, or modeling pipelines with automation, monitoring and alerting.
• Experience debugging distributed, data-heavy systems spanning preprocessing, modeling and downstream consumers.
• Comfort with cloud infrastructure, infrastructure-as-code, and CI/CD at depth.
• Pursuing or holding a Bachelor’s/Master’s in Physics, CS, Engineering, Applied Math, or a related field.

Responsibilities

• Own the simulation and digital twin platform end to end: production pipelines, CI/CD across simulation and ML workflows, geospatial data processing, annotation and QC systems.

Skills

Simulation pipelines

Distributed systems

CI/CD

Cloud infrastructure

Automation & monitoring

Geospatial data

Infrastructure as code

Education

Bachelor's or Master's in Physics, CS, Engineering, Applied Math

Job description

Looking to build the production infrastructure powering physics simulations that no other team on Earth is running?

A well-funded, venture-backed insurtech — on track to profitability after just two years — is hiring a Lead Simulation Platform Engineer as they expand nationwide and into new perils. This isn't gluing together APIs for a SaaS dashboard. You're building the compute backbone beneath digital twins that model how wildfire, wind, and flood interact with individual homes.

This company doesn't price risk by zip code. They simulate the actual physics — CFD, multiphysics solvers, geospatial data pipelines — and they need someone who can make that machinery run reliably, at scale, in production. Traditional insurance has nothing like it.

You'll own the simulation and digital twin platform end to end: production pipeline reliability, CI/CD across simulation and ML workflows, geospatial data processing, annotation and QC systems, and the buildout of new peril capabilities as the business grows. You'll work shoulder-to-shoulder with Physics Simulation Engineers, ML Engineers, and domain SMEs — translating their modeling needs into infrastructure that actually ships, while leading a small team of your own.

You're the right person if you have 5+ years building and maintaining production-grade simulation, data, or modeling pipelines — with real automation, monitoring, and alerting — and you've debugged distributed, data-heavy systems that span preprocessing, modeling, and downstream consumers. You're comfortable with cloud infrastructure, infrastructure-as-code, and CI/CD at depth. You treat pipelines as long-lived products, not one-off scripts. A Bachelor's or Master's in Physics, CS, Engineering, Applied Math, or a related field is expected.

Strong plus: experience supporting physics-based or CFD workflows in production, hands-on work with geospatial data stacks (LiDAR, DEMs, digital twins), collaboration with ML engineers on training pipelines, and a track record shipping in startup environments where speed and reliability both matter.

Compensation: $250,000-$290,000 base + equity +benefits.

Think you're a fit or the team?