Head of Atmospheric Science - Onsite in San Francisco, CA

Lever, Inc.; San Francisco (CA); Hybrid; USD 180,000 - 260,000; Full time

Benefits offered by this job

Equity

Job summary

Roadrunner Venture Studios is seeking a Head of Atmospheric Research to lead the atmospheric science function for a rainfall enhancement portfolio company. You will set scientific direction, lead modeling, and build a team to support deployment programs.

You will oversee WRF modeling, data assimilation, and integration of diverse observations. The role involves collaboration with science, software, and field teams in a fast-changing startup environment, with equity included.

Qualifications

• Bachelor's degree or higher in atmospheric science, meteorology, physics, computer science, or data science.
• Advanced degree preferred.
• Experience with WRF and data assimilation systems is essential.

Responsibilities

• Set scientific strategy for evaluating atmospheric conditions and deployment windows.
• Integrate forecasts, datasets, soundings, radar, satellite imagery, and field data into assessments.
• Review data across deployments and communicate uncertainty.
• Lead WRF modeling for deployment planning, scenario analysis, and post-deployment review.
• Build an operational modeling chain for high-resolution simulations.
• Lead technical teams and communicate with leadership and partners.

Skills

WRF modeling

Python

Fortran

C++

Data assimilation

Leadership

Linux

Lidar/radar knowledge

Education

Bachelor's degree in atmospheric science or related field

Tools

WRFDA

DART

NetCDF

GRIB

RADAR

Cloud computing

Job description

About Roadrunner Venture Studios

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.

About the Role

Roadrunner Venture Studios is recruiting a Head of Atmospheric Research for a portfolio company developing rainfall enhancement technology.

You will lead the atmospheric science function and connect scientific validation with operational deployment. The scope includes meteorology, atmospheric prediction, modeling, data assimilation, field-data review, and scientific evaluation of deployments.

Atmospheric modeling is a major part of a broader mandate. You will set scientific direction, work hands‑on, and build the team needed to support a growing deployment program.

This role includes significant equity.

This is an early‑stage startup building something that has not been built before. Priorities will change quickly. If this working environment does not excite you, this role is probably not for you.

What You Will Do

Atmospheric Science and Prediction

• 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. Compare predicted and observed conditions, identify important differences, and communicate conclusions and uncertainty.
• Work with science, software, and field teams to improve observation methods, data quality, operational prediction, and post‑deployment analysis.

Atmospheric Modeling and Data Assimilation

• Lead the Weather Research and Forecasting (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.

Scientific and Team Leadership

• 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 as the company grows.
• Build productive relationships with universities, national laboratories, research institutions, and other scientific partners.

Preferred Qualifications

• Bachelor's degree or higher in atmospheric science, meteorology, physics, computer science, data science, or a related field. An advanced degree is preferred.
• Broad experience in atmospheric science, meteorology, weather prediction, numerical weather prediction, or atmospheric research.
• Extensive experience configuring, running, and analyzing WRF. Experience contributing to WRF development is valuable.
• 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.

Location

This role may be based in the San Francisco Bay Area, California, or New Mexico. The balance between in‑person and remote work can be tailored to the candidate and team needs. Frequent travel is required.