$ cat jobs/transmission-grid-engineer-lead-llnl-7b49a91b60bd.json
Transmission Grid Engineer - Lead
Join us and make YOUR mark on the World! Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability. Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact. We have an opening for an experienced Transmission Grid Engineer - Lead . You will lead system research on electrical power grid infrastructure analysis with a focus on grid resilience and participate in business development for the Cyber and Infrastructure Resilience (CIR) program in the Global Security (GS) Principal Associate Directorate. You will participate in collaborations with and travel to DOE headquarters and institutions such as national labs, utilities, and vendors in support of CIR’s growing research portfolio in electric grid infrastructure for the Department of Energy (DOE)’s Grid Modernization Initiative and Department of Defense (DoD). This position is in the Computational Engineering Division (CED), within the Engineering Directorate. Depending on your assignment, this position may offer a hybrid schedule, blending in-person and virtual presence. You may have the flexibility to work from home one or more days per week. This position will be filled at either level based on knowledge and related experience as assessed by the hiring team. Additional job responsibilities (outlined below) will be assigned if hired at the higher level. You will Lead and support complex research projects with competing priorities and implement advanced research concepts in a multidisciplinary team environment where dedication and deadlines are important to project success. Partner with other LLNL scientists and engine