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About the Role

Roadrunner Venture Studios is recruiting a Head of Atmospheric Science for a portfolio company developing rainfall enhancement technology. You will lead the atmospheric science function, connecting scientific validation with operational deployment, and set scientific direction, work hands-on, and build the team needed to support a growing deployment program. This role includes significant equity and requires working in a fast-paced, early-stage startup environment with frequent travel and potential for long hours.

Responsibilities

• Set the scientific strategy for evaluating atmospheric conditions, selecting deployment windows, interpreting results, and improving operating criteria.
• Integrate forecasts, historical datasets, soundings, radar, satellite imagery, surface observations, and field-sensor data into clear scientific assessments.
• Review data before, during, and after deployments, comparing predicted and observed conditions, identifying differences, and communicating conclusions and uncertainty.
• Work with science, software, and field teams to improve observation methods, data quality, operational prediction, and post-deployment analysis.
• Lead the WRF modeling program for deployment planning, atmospheric prediction, scenario analysis, and post-deployment review.
• Architect WRF data assimilation using WRF Data Assimilation (WRFDA), the Data Assimilation Research Testbed (DART), or similar frameworks.
• Integrate standard meteorological observations and data from monitoring and deployment hardware to improve model initial conditions and predictions.
• Build an operational modeling chain that ingests historical, forecast, and observational data for high-resolution WRF simulations.
• Evaluate artificial intelligence and machine learning weather models and emulators for prediction, model acceleration, and operational decision support.
• Develop cloud and high performance computing workflows for model execution, data management, analysis, and visualization.
• Set technical priorities and communicate scientific findings, limitations, and uncertainty to company leadership and external research partners.
• Recruit, mentor, and lead atmospheric scientists, meteorologists, data scientists, and scientific software engineers.
• Build productive relationships with universities, national laboratories, research institutions, and other scientific partners.

Requirements

• Broad experience in atmospheric science, meteorology, weather prediction, numerical weather prediction, or atmospheric research.
• Extensive experience configuring, running, and analyzing WRF.
• Experience implementing WRFDA, DART, or similar data assimilation systems for research or operational use.
• Strong knowledge of boundary layer meteorology, cloud microphysics, convective initiation, precipitation processes, and mesoscale atmospheric dynamics.
• Experience interpreting forecasts and observations from radar, satellite, soundings, surface stations, or other meteorological systems.
• Prior experience with artificial intelligence and machine learning weather modeling, weather emulators, or related atmospheric applications.
• Experience running numerical weather prediction models in Linux, cloud computing, or high performance computing environments.
• Deep experience with meteorological datasets and formats such as NetCDF and GRIB.
• Strong Python skills and working knowledge of Fortran, C++, or similar scientific computing languages.
• Experience leading technical teams, setting scientific priorities, and communicating complex results to technical and nontechnical audiences.
• Ability to manage competing priorities, meet deadlines, and work effectively in a fast-changing startup environment.
• Hands-on experience deploying, operating, troubleshooting, or interpreting data from meteorological field equipment.
• Experience with Doppler light detection and ranging (lidar) systems, weather radar, radiometers, radiosondes, disdrometers, ceilometers, or surface weather stations.
• Experience with field campaigns, environmental monitoring, or deployment operations in the Southwest United States.
• Experience at a national laboratory, research university, government weather organization, or artificial intelligence weather company.

Skills

• Atmospheric Science
• Meteorology
• Weather Prediction
• Numerical Weather Prediction
• Atmospheric Research
• WRF Modeling
• WRFDA
• DART
• Data Assimilation
• Boundary Layer Meteorology
• Cloud Microphysics
• Convective Initiation
• Precipitation Processes
• Mesoscale Atmospheric Dynamics
• Radar Interpretation
• Satellite Imagery Interpretation
• Sounding Interpretation
• Surface Observation Interpretation
• Artificial Intelligence Weather Modeling
• Machine Learning Weather Modeling
• Weather Emulators
• Linux
• Cloud Computing
• High Performance Computing
• NetCDF
• GRIB
• Python
• Fortran
• C++
• Scientific Computing
• Team Leadership
• Scientific Communication
• Project Management
• Meteorological Field Equipment Operation
• Doppler Lidar
• Weather Radar
• Radiometers
• Radiosondes
• Disdrometers
• Ceilometers
• Surface Weather Stations
• Field Campaigns
• Environmental Monitoring
• Deployment Operations

Location

• San Francisco Bay Area, California
• New Mexico

Work Type

• Hybrid
• Frequent Travel Required

Experience Level

• Early-stage startup experience
• Leadership experience

Education Level

• Bachelor's degree or higher in atmospheric science, meteorology, physics, computer science, data science, or a related field.
• Advanced degree preferred

Benefits

• Significant equity

About the Company

• Roadrunner Venture Studios is the nation's leading platform for founding breakthrough ventures in frontier technology.
• We partner with scientists, engineers, and entrepreneurs to turn deep technology into real companies.
• Our work spans energy, manufacturing, semiconductors, quantum computing, aerospace, advanced materials, artificial intelligence, and high performance computing.