Sort by
Refine Your Search
-
(HPC), or large-scale data analysis. Experience in applying AI/ML techniques to hydrological and Earth sciences. Proficiency in scientific programming languages such as Python, Julia, R, Fortran, or C/C
-
upgrades for leadership-class and research computing systems. Develop and maintain automation, configuration management, and monitoring solutions using tools such as Ansible, Puppet, Bash, or Python
-
(including FPGA-based electronics and custom mechanical assemblies) and software solutions (LabVIEW, Python, and custom drivers) across multiple experimental platforms. The core mission of this position is to
-
software. Experience with MATLAB, C++, or Python. At least 7 years’ relevant experience with modeling of electric motors and electromagnetics. Experience in designing and fabricating electric motors
-
languages, such as Python and C++. Demonstrated experience in structural materials, such as research in phase transformations or mechanical behavior. Demonstrated effective written and oral
-
, Python, Bash, and GitLab CI. Support the use and understanding of in-house Kubernetes operators and serve as a secondary maintainer for those controllers. Hardware and Infrastructure Management Write and
-
, including cluster management tools (e.g., SLURM, PBS, Moab). Linux system administration skills, with experience in scripting and automation using tools such as Bash, Python, or Ansible. Experience with
-
or autonomous tools within complex pipelines. Proficiency in modern AI frameworks and tools (e.g., PyTorch, TensorFlow, LangChain, MCP SDKs) and programming languages (Python, C++). Experience with provenance
-
Familiarity with Python programming Experience with modern software development practices to ensure code quality Experience with computational geometry Excellent written and oral communication skills Ability
-
development experience in C++ or Python Experience performing independent research, as evidenced by thesis or peer-reviewed publications Ability to perform field work (e.g., data collection in remote, harsh