Lead Computational Scientist
Core
Architect and developer for computational aspects of research investigations, integrating high-performance computing tools and software for scholarly disciplines.
Role type
Lead Computational Scientist (HPC & Research Computing)
Builds
High-performance computing and data-intensive architectures, scientific applications, and visualization systems.
Domain
Academic research computing / High-performance computing (HPC)
Deliverable
production ML models | infrastructure
Required skills
C/C++, Fortran, Java, Python, R, Perl, MPI, OpenMP, CUDA, shell scripting, software porting, data pipeline construction, HPC system design
Preferred skills
Research publication, student supervision, faculty experience, multidisciplinary project leadership
Technologies
GPUs, parallel file systems, low-latency networks, virtual machines, cloud environments
Responsibilities
Develop, port, and optimize software for HPC and cloud architectures; serve as consultant/co-investigator on sponsored research projects; mentor students and research staff; provide technical end-user support and training; maintain computing and visualization infrastructure.
Seniority
Senior, hands-on IC with mentorship responsibilities
