Senior Computer Scientist

LLNL•Livermore, CA

2d•Onsite

About The Position

We have an opening for a Senior Computer Scientist to design, develop, and deploy next-generation algorithms and software for mission-relevant cybersecurity and computing at scale. Your work will primarily support ongoing security missions within the Global Security Directorate, where you will have impact on the near-real-time analysis of massive-scale data. Your expertise will drive the design of novel data science capabilities that support the U.S. national security enterprise. You will work in a multidisciplinary environment with computational scientists, applied mathematicians, and software engineers to advance high-performance computing (HPC) capabilities, with an emphasis on sparse linear algebra, graph algorithms, and large-scale AI/ML optimization on modern heterogeneous architectures. You will interact with team members, project management, and external sponsors in pursuit of security missions, and will travel as necessary to interact with sponsors and customers. This position will be part of the Graph Science and Irregular Computing Group in Center for Applied Scientific Computing (CASC) within the Computing Directorate. This position requires on-site presence due to the nature of the work. 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.

Requirements

This position requires an active Department of Energy (DOE) Q-level clearance or active Top Secret clearance issued by another U.S. government agency at the time of hire.
PhD in Computer Science, Applied Mathematics, Computational Science, or a related field (or equivalent combination of education and relevant experience).
Expert project leadership experience for applied math, AI/ML, and/or computer science research efforts and the ability to apply, lead and develop cutting-edge principles and research, working independently while effectively managing concurrent technical tasks with competing priorities.
Highly advanced experience creating technical direction and vision, writing research proposals, and/or securing sponsor funding.
Demonstrated expertise designing HPC software and algorithms at scale, especially using C++ and MPI.
Strong peer-reviewed publication background in sparse linear algebra and/or graph algorithms for large-scale computation.
Demonstrated experience with large-scale computation (e.g., distributed optimization, AI/ML training at scale, performance/efficiency tuning, or scalable data/compute pipelines).
Extensive experience interacting with a multi-disciplinary research team, authoring technical and scientific reports and papers, and delivering scientific presentations.
Extensive experience in the identification of highly complex problems and providing solutions in a creative and timely manner.
Expert communication, facilitation, and collaboration skills necessary to present, explain, and advise senior management and/or external sponsors.

Nice To Haves

Experience with GPU programming and/or performance-portable approaches (e.g., CUDA, HIP, OpenMP offload, Kokkos, RAJA).
Experience with relevant libraries and ecosystems (e.g., BLAS/LAPACK, sparse BLAS, graph frameworks, distributed runtimes).
Track record of leading technical efforts, mentoring, and delivering robust software to users/customers.
Experience with defense or non-proliferation applications.

Responsibilities

Lead and contribute to R&D efforts in scalable data science, AI/ML, and applied mathematics that support the U.S. security mission.
Develop and direct technical tasks for teams addressing highly complex projects that consistently require the application of creativity and innovation; set broad research/project vision and strategy and influence technical direction for the Laboratory and others wielding extensive influence, such as senior management, industrial partners, and policy makers.
Provide highly innovative solutions to abstract complex graph and/or sparse linear algebra problems/ideas, convert them into useable algorithms/software modules, and provide solutions that require in-depth analysis of multiple factors and the creative use of established methods.
Develop new ideas, modify approaches, and redefine requirements that significantly impact major Laboratory programs, set high-level goals, and contribute to the revolutionary advancement of knowledge.
Design and implement AI/ML optimization and deployment at scale.
Build prototype HPC software in C++ using MPI (and related parallel programming models as needed), emphasizing performance portability, correctness, and maintainability.
Engage with sponsors and stakeholders to develop new program growth opportunities, contribute to research proposals, and ensure alignment with mission objectives.
Mentor and collaborate with team members, utilizing your technical expertise to attract and retain projects, programs, and funding.
Perform other duties as assigned.
Lead development of new/novel technical areas applicable to sponsor mission priorities.
Direct a portfolio of complex technical tasks and projects; establish a broad research/project vision and strategy and influence technical direction for Laboratory, self and/or others.
Represent the Laboratory as the primary technical contact for large projects and serve on external scientific or technical committees.
Support the Laboratory in attracting and retaining projects, programs, funding, and staff.