Head of Atmospheric Research

🔥 3 minutes ago

🏄 California, New Mexico – Remote

🏄 California – Remote 🌶️ New Mexico – Remote

⏰ Full Time

🔴 Lead

👻 Ghost score 24%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Roadrunner Venture Studios

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

⚡ Energy

🔬 Science

Artificial Intelligence • Energy • Science

Roadrunner Venture Studios is the nation's premier platform for founding and scaling breakthrough ventures in deep technologies. Based in Albuquerque, NM, the studio focuses on transforming deep tech, including quantum science, space tech, energy, advanced manufacturing, and clean tech, into disruptive ventures. It is dedicated to investing in ideas and founders with significant potential to innovate and create impactful technologies. Roadrunner Venture Studios also hosts events like the Roadrunner Technology Forum and has received substantial investment from the New Mexico State Investment Council to support new tech startups.

📋 Description

• Set 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 scientific assessments • Review data before, during, and after deployments; compare predicted and observed conditions and communicate conclusions and uncertainty • Collaborate with science, software, and field teams to improve observation methods, data quality, operational prediction, and post-deployment analysis • 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 WRFDA, DART, or similar frameworks • Integrate meteorological observations and monitoring/deployment hardware data to improve model initial conditions and predictions • Build an operational modeling chain for high-resolution WRF simulations using historical, forecast, and observational data • Evaluate AI and machine-learning weather models and emulators • 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 leadership and external research partners • Recruit, mentor, and lead atmospheric scientists, meteorologists, data scientists, and scientific software engineers • Build relationships with universities, national laboratories, research institutions, and other scientific partners

🎯 Requirements

• Bachelor's degree or higher in atmospheric science, meteorology, physics, computer science, data science, or a related field • 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 • Strong knowledge of boundary layer meteorology, cloud microphysics, convective initiation, precipitation processes, and mesoscale atmospheric dynamics • Experience interpreting radar, satellite, sounding, surface-station, and other meteorological observations • 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 NetCDF and GRIB formats • 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 meteorological field equipment • Experience with lidar, 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

🏖️ Benefits

• Significant equity • Remote work arrangement tailored to candidate and team needs • Option to be based in the San Francisco Bay Area, California, or New Mexico hubs • Frequent travel associated with the role