About the role
The Simulation Platform Engineer owns and extends the simulation and digital twin platform that underpins Stand’s modeling workflows. This role spans production simulation pipeline development and support, infrastructure and CI/CD reliability, geospatial data processing, annotation and QC systems, and the development of new digital twin capabilities to support the expansion of the business into new geographies and perils, e.g., hurricane.
You will work closely with Physics Simulation Engineers, Machine Learning Engineers, and peril-specific SMEs to ensure our simulation, AI, and geospatial pipelines are reliable, observable, and scalable.
This position is ideal for someone who thrives in fast-paced environments, owns outcomes end to end, collaborates effectively across disciplines, and is energized by building from zero to one.
What You’ll Do:
- Own and support production simulation pipelines, debugging, monitoring, and resolving issues across wildfire simulation and related workflows to improve uptime and MTTR.
- Strengthen CI/CD and infrastructure reliability across simulation, digital twin, and ML pipelines through automated testing, safe deployments, and compute efficiency.
- Build and operate annotation and QC systems for digital twins, improving quality and reducing manual effort via ML-assisted workflows.
- Develop digital twin capabilities, including multiphysics-adjacent features for wind, flood, and other perils.
- Integrate new peril pipelines end to end, across multiple scales, connecting preprocessing, vendor and geospatial data, simulation workflows, and post-processing modules.
- Partner with MLEs on AI pipelines, supporting training, inference, and continuous improvement (e.g., FireNet).
- Design and operate geospatial pipelines, merging heterogeneous spatial datasets into reproducible, production-grade workflows.