Sort by
Refine Your Search
-
Listed
-
Country
-
Field
-
and GPUs) or cloud. Proficiency with high performance computing and system architecture. Advanced skills and experience associated multiple of the following: artificial intelligence; method and machine
-
performance. The Project/Program Manager (Systems Engineer) focuses on the deployment, configuration, monitoring, and maintenance of GPU-enabled servers, virtualized environments, and hybrid infrastructure
-
. Experience with multiple deployment mechanisms like Diskless, Warewulf, and traditional deployment (cobbler, PXEboot, and/or Bright). Experience managing systems utilizing GPU (NVIDIA and AMD) clusters for AI
-
quantitative genetics, machine learning, bioinformatics, and population genetics, and their applications in an agricultural setting A modern dedicated computational infrastructure (CPUs & GPUs) Well-developed in
-
implementing STIG processes and remediations Experience with GPU, SLURM and other HPC environments. Experience with CI/CD support and container administration. Deep familiarity with Red Hat Linux operating
-
as code” approach to systems automation. You’ll be working across a range of predominately Linux based systems, including HPC and GPU accelerated compute, large-scale and high-performance storage, and
-
Description Primary Duties & Responsibilities: Lead the optimization of large-scale LLMs and deep learning architectures for biomedical research. Design and deploy high-performance AI systems using GPUs and
-
experience. PACU/Critical Care/GPU experience strongly preferred. Experience working with patients 6 weeks in age to 25 years of age preferred. Licensure/ Certifications: Current Massachusetts license as a
-
management application GPU & specialized hardware for Artificial Intelligence and Deep Learning Server-class hardware and remote management The HPC administrators are responsible for working closely with
-
the optimization of large-scale LLMs and deep learning architectures for biomedical research. Design and deploy high-performance AI systems using GPUs and hardware accelerators. Interact and collaborate