Physical Scientist – Warn-on-Forecast System Developer

🕒 Junho 3

🦀 Maryland – Remoto

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💵 $78.000 - $120.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🖥 Engenheiro de Software

🦅 Patrocina Visto H1B

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Lynker

501 - 1000 funcionários

Fundada em 2007

🔬 Ciência

Science • Engineering • Environmental Policy & Compliance

A Lynker é uma empresa líder em ciência, engenharia e tecnologia, que se especializa em fornecer soluções inovadoras em ciência do clima e meteorologia, ciência e engenharia marinha/oceânica, e clima e meteorologia espacial. A empresa colabora com governos, comunidades e indústrias para oferecer serviços impactantes que abordam a segurança ambiental global e a prosperidade econômica. Aproveitando o conhecimento de uma equipe de cientistas, engenheiros e educadores qualificados, a Lynker enfrenta algumas das missões e desafios mais importantes da nação, além de se concentrar em treinamentos, comunicação e divulgação para políticas ambientais eficazes e conformidade.

Descrição

• Support the operational transition of WoFSv1 and the development of WoFS v2 within a cloud environment, focusing on model development, system integration, testing and optimization, and transition of WoFS v1 capabilities into NWS operations. • Harden the cloud-based WoFSv1 system to meet the NWS NCO operational implementation requirements and support its operational transition. • Conduct rigorous model performance evaluations, benchmarking (WoFSv1 vs. WoFSv2), as well as retrospective and real-time simulations to evaluate forecast skills, operational readiness, and overall system value. • Expand the system’s geographical scope by developing the capability to run WoFS outside the CONUS domain. • Develop new WoFS products and metrics for a wider range of high-impact weather hazards beyond severe convection, leveraging forecasters input. • Support the development and testing of the MPAS-JEDI-based WoFS v2 prototype. • Develop a robust, unified end-to-end workflow for the WoFSv2 system, integrating all components: model input preprocessing, data assimilation, forecasting, post-processing, product generation, and visualization. • Establish, maintain, and manage GitHub repositories to support version control and code development.

🎯 Requisitos

• Education: M.S or higher in Atmospheric Science, Meteorology, Computer Science, Software Engineering, or a closely related field. • Advanced knowledge of Numerical Weather Prediction (NWP) modeling of convective and mesoscale meteorology, ensemble data assimilation, and atmospheric physics and dynamics. • Experience in developing weather forecasting systems built on WRF and MPAS • Experience in software development, code management (e.g., GitHub), and integrating complex modeling and data assimilation components. • Experience assimilating weather radar, satellite, conventional, mesonet and conventional observations with GSI or JEDI to improve initial conditions for rapid-fresh, convection-allowing ensemble short-range weather prediction systems is preferred. • Programming Skills: Strong proficiency in Fortran and modern scripting languages, particularly Python (including scientific packages for AI/ML training and verification). • Experience working within cloud High Performance Computing environments is highly desired. • Communication: Excellent oral and written communication skills with a proven ability to work both independently and within a multi-disciplinary team.

🏖️ Benefícios

• Comprehensive healthcare for the employee at no monthly cost • Healthcare benefit covers medical, prescription drug, dental, and vision • Personal Time Off (PTO) Policy plus paid holidays • Highly competitive compensation plan regularly calibrated against industry and location benchmarks • 401(k) retirement plan with company-matching • Employee Stock Ownership Plan (ESOP) – we’re all company owners! • Flexible spending accounts • Employee assistance program (EAP) • Short- and long-term disability insurance • Life and accident insurance • Tuition assistance/Training/Workforce improvement reimbursement per year • Spot bonuses for exceptional performance • Annual Employee Recognition Awards with bonuses • Employee Referral Program • Free centralized, self-directed Learning Management System to learn at your own pace • Personalized career growth plans for every employee

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