Simulation Platform Engineer

Stand

Simulation Platform Engineer developing and extending simulation and digital twin platform workflows. Collaborating with diverse teams to enhance Stand’s modeling capabilities.

Posted 6/24/2026full-timeSan Francisco • California • 🇺🇸 United StatesMid-LevelSenior💰 $180,000 - $210,000 per yearWebsite

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Above-market Health, Dental, and Vision coverage
Weekly lunch stipend
Flexible time off + holidays
401(k) plan
Commuter benefits
PAT & MAT Leave
Short-Term and Long-Term Disability
Monthly team gatherings
In-office perks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

production simulation pipelinesdebuggingmonitoringCI/CDinfrastructure reliabilityautomated testingdigital twin capabilitiesgeospatial pipelinesdata-heavy systemsversioned datasets

Soft Skills

collaborationcommunicationhigh ownershipoperational rigorself-motivatedproactiveadaptableproblem-solvingfast-paced environmenttranslating modeling needs

Certifications

Bachelor’s degree in Computer ScienceMaster’s degree in Computer ScienceBachelor’s degree in EngineeringMaster’s degree in EngineeringBachelor’s degree in Applied MathematicsMaster’s degree in Applied MathematicsBachelor’s degree in PhysicsMaster’s degree in Physics