Stand · 5 hours ago
Simulation Platform Engineer
United States
Full-time
Remote
Senior Level
$180K/yr - $210K/yr
5+ years expStand is a company focused on innovative property protection using advanced physics and AI to model catastrophic risk. The Simulation Platform Engineer will own and extend the simulation and digital twin platform, working closely with various teams to ensure the reliability and scalability of simulation, AI, and geospatial pipelines.
InsuranceInsurTechProperty Insurance
No H1B
Hiring Manager
Leah Metz
Responsibilities
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
Communicate clearly across teams on pipeline stability, data quality, and failures to enable fast iteration
Qualification
Required
5+ years of hands-on experience building and maintaining production-grade data, simulation, or modeling pipelines, with end-to-end automation, monitoring, and alerting
Proven ability to debug distributed, data-heavy systems, especially those spanning APIs, preprocessing, modeling, and downstream consumers
Hands-on experience with cloud infrastructure and CI/CD, including infrastructure-as-code, automated testing, and reliable deployment practices
Comfort working at the intersection of simulation, digital twins, and ML, even if your background leans more heavily toward one area
Experience designing reproducible workflows, with versioned datasets, scripted transformations, and auditable pipelines
Ability to collaborate directly with simulation engineers, MLEs, and domain SMEs, translating modeling needs into robust platform capabilities
High ownership and operational rigor, treating pipelines and platforms as long-lived products, not one-off projects
Bachelor's or Master's degree in Computer Science, Engineering, Applied Mathematics, Physics, or a related technical field
Highly self-motivated, with a 'run-through walls to get the problem solved' method, self-directed, proactive, and adaptable; comfortable operating in fast-paced, ambiguous environments where problems, interfaces, and priorities evolve over time
Preferred
Experience supporting physics-based or simulation-heavy workflows (e.g., CFD, multiphysics, or digital twin systems) in production, with strong physical simulation mathematical intuition
Hands-on experience with geospatial data stacks, including LiDAR, DEMs, and digital twin manipulation
Experience working directly with business units or product teams on customer or client-facing technology
Experience collaborating with MLEs on training pipelines and dataset construction for large-scale models
Proven ability to operate effectively in startup environments, balancing rapid delivery with long-term platform reliability and high ownership
Benefits
Meaningful Equity Grant
Company
Stand
Stand offering a solution that protects property while insuring it.
11-50 employees
Funding
Current Stage
Growth StageTotal Funding
$65MKey Investors
Eclipse Ventures
2025-10-16Series B· $35M
2024-12-16Series A· $30M
Recent News
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2025-10-29
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