Computational Scientist Consultant/Advisor Specialist, Band G Center for Advanced Computing
The Cornell University Center for Advanced Computing (CAC) is a leader in high-performance computing systems, applications, and data solutions that enable research success. Our computing and consulting services help campus researchers accelerate discovery. We also serve the national community on projects such as the Extreme Science and Engineering Discovery Environment (XSEDE) and the Aristotle Cloud Federation, and develop online training for national cyberinfrastructure, including the Frontera petascale computing system and Jetstream 2 cloud.
CAC seeks a Computational Scientist to support the computational needs of Cornell faculty and researchers and to develop online training for national cyberinfrastructure. A passion for solving problems at the intersection of science and computation is essential as well as an eagerness to create effective user guides and online training for HPC systems and emerging technologies. An excellent foundation in computing is required, paired with the curiosity and drive to learn more. You'll work on teams and independently, multitask, and adjust to shifting priorities while solving a variety of research challenges in science and engineering and the digital humanities. Besides being technically astute, you should enjoy interacting with others--faculty, research staff, and your CAC colleagues--and communicate effectively. CAC staff thrive on change and enjoy a work environment that is intellectually stimulating and rewarding.
Cornell University embraces diversity and seeks candidates who will contribute to a climate that supports students, faculty and staff of all identities and backgrounds. We strongly encourage individuals from underrepresented and/or marginalized identities to apply.
B.S. in science, engineering, computer science, mathematics, or related field
At least 5 years programming experience, domain computing in a research computing environment
Experience in computing platforms: Compute clusters and Cloud resources
Expertise in Python & other programming languages, e.g., Java, MATLAB, R, C/C++/C#, Fortran, SQL
Strong communication skills, including writing, speaking, documentation, teaching, diagrams
Ability to work effectively both collaboratively and independently, as well as remote and in-person
Experience using software development tools and developing scientific workflows
Experience developing training materials in any medium
Large data: utilize machine learning, data analysis, data mining, databases, visualization
-Background in computational research, working with research scientists
-Experience in writing grant proposals or publications
-Background in developing computationally intensive applications or in systems administration
Cloud computing: deploy, manage, and maintain virtual resources (GCP)
Containerization: develop containerized workflows for scientific and HPC applications
Clusters: using batch scheduled systems
Performance: apply techniques in optimization, vectorization, and performance analysis
Parallel programming: design and implement distributed and parallel applications
GPU and heterogeneous systems: develop efficient applications
Visa sponsorship not available.
Please attach both cover letter and resume.
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