Physical Scientist – Warn-on-Forecast System Developer

🕒 vor 13 Tagen

🦀 Maryland – Remote

info

💵 $78.000 - $120.000 / Jahr

⏰ Vollzeit

🟡 Mittelstufe

🟠 Senior

🖥 Softwareentwickler

🦅 H1B-Visum-Sponsor

info

🗣️🇺🇸🇬🇧 Englisch erforderlich

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Lynker

501 - 1000 Mitarbeiter

Gegründet 2007

🔬 Wissenschaft

Science • Engineering • Environmental Policy & Compliance

Lynker ist ein führendes Unternehmen in den Bereichen Wissenschaft, Ingenieurwesen und Technologie, das sich auf die Bereitstellung innovativer Lösungen in den Bereichen Wetter- und Klimawissenschaft, Meeres-/Ozeanwissenschaft und -technik sowie Weltraumwetter und Weltraumklima spezialisiert hat. Das Unternehmen arbeitet mit Regierungen, Gemeinschaften und Branchen zusammen, um wirkungsvolle Dienstleistungen zu erbringen, die die globale Umwelt- und Wirtschaftssicherheit fördern. Durch den Einsatz eines Teams erfahrener Wissenschaftler, Ingenieure und Pädagogen geht Lynker einige der wichtigsten Missionen und Herausforderungen der Nation an und konzentriert sich gleichzeitig auf Schulungen, Kommunikation und Öffentlichkeitsarbeit für eine effektive Umweltpolitik und Compliance.

Beschreibung

• 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.

🎯 Anforderungen

• 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.

🏖️ Vorteile

• 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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