Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
systems, including embedded and resource constrained systems with various heterogenous computing topologies Additional responsibilities include Assisting with development of GUI software tools to
-
Information Technology website. The position is hosted by the Division of Scientific Computing (TDB) within the Department of Information Technology. As one of the world’s largest focused research environments
-
computing, or hardware reliability. Experience with GPU, FPGA, embedded, or specialized AI accelerator platforms. Experience with scientific programming, benchmarking, or reproducible experimentation
-
version control (Git) and DevOps tools (Docker, Kubernetes, CI/CD pipelines). Familiarity with high-performance computing (GPU, CUDA, Slurm, etc.). Notions of full-stack software development or a
-
management, analysis and modelling of large-scale data, and for the integration of data and computing resources into federated HPC infrastructures. The models, tools and methods are developed in
-
with transistor-level circuit design and simulation What We Offer We provide GPU computing for machine learning on Aalto's Triton high-performance computing cluster, alongside industry-standard
-
principles and research data management. Experience with high-performance computing, cloud computing, GPU acceleration, or distributed data processing. Experience participating in international scientific
-
Position Title: Research Computing Technical Specialist Department/School: Infrastructure, Information Technology Salary/Pay Rate: $80,000 - $90,000 Job Summary: The Research Computing Technical
-
: Strong candidates may also have experience with: Large-scale neuroimaging datasets. GPU-based model training and distributed computing. Brain connectivity modeling, representational analysis, or
-
University of North Carolina at Chapel Hill | North Wilkesboro, North Carolina | United States | 22 days ago
platforms, distributed systems, GPU -enabled computing, or MLOps workflows * Experience providing technical leadership, mentoring developers, or owning major features or work streams * Experience