Physical Scientist – Warn-on-Forecast System Developer

🕒 il y a 2 mois

🦀 Maryland – Distant

🦀 Maryland – Remote

💵 $78 000 - $120 000 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

🖥 Ingénieur Logiciel

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Lynker

Site WebLinkedInTous les Emplois

501 - 1000 employés

Fondée en 2007

💼 Conseil

🔬 Science

Consulting • Science • Engineering

Lynker est une entreprise de premier plan en science, ingénierie et technologie, spécialisée dans la fourniture de solutions innovantes en science du climat et des conditions météorologiques, en science et ingénierie marines et océaniques, ainsi qu'en météorologie de l'espace et en climat spatial. L'entreprise collabore avec les gouvernements, les communautés et les industries pour offrir des services significatifs qui répondent aux enjeux de la sécurité environnementale mondiale et de la prospérité économique. En s'appuyant sur une équipe de scientifiques, d'ingénieurs et d'éducateurs qualifiés, Lynker s'attaque à certaines des missions et des défis les plus importants de la nation, tout en mettant également l'accent sur la formation, la communication et la sensibilisation pour une politique environnementale efficace et une conformité légale.

Description

• 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.

🎯 Exigences

• 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.

🏖️ Avantages

• 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