Computing Software Analyst Job Idaho Falls area,Idaho USA,IT/Tech

Position: High Performance Computing Software Analyst

Idaho National Laboratory is hiring a High Performance Computing Software Analyst to work in our High Performance Computing department. Our team works a 9x80 schedule located out of our Research Education Campus with every Friday off.

The High Performance Computing Software Analyst will report to the manager of the High Performance Computing department.

Responsibilities

Provide software support for high performance computing users.
Analyze documentation and software builds for multiple high performance computing softwares while answering service requests and tickets.
HPC leadership at INL including understanding mission requirements and providing solutions for users.
Function as an interface between the High Performance Computing and Advanced Scientific Computing directorate organizations and the Lab.
Design, install, configure, debug, troubleshoot, and improve software to support the High Performance Computing systems and supporting infrastructure.
Provide software support for machine learning models.
Support computer vision application development and deployment.
Support Science Gateway development and deployment.
Research and maintain deployed software.
Research and maintain 3rd party embedded systems applications.
Research and diagnose system operational problems.
Coordinate with vendors to resolve hardware and software problems.
Define and document procedures and tasks.
Participate in a 24-hour, 7-day on-call support rotation and off-hours maintenance activities.
Integrate new systems.
Perform system performance analysis and tuning.
Provide user support and training.
Support laboratory-wide training and outreach activities to increase HPC adoption at INL.
Support university training and outreach activities to build HPC and computational science skills.
Contribute to the enhanced reputation of HPC both at INL and regionally.
Be familiar with data center design, cooling, power, and operations.
Coordinate with HPC staff for HPC maintenance and outages.
Support python programming language and modern web development frameworks, content management systems, relational databases, graphical toolkits, version control systems, and OS X/Linux system administration.
Work independently and as a member of the team in computer science, scientific software engineering, and client/server programming.
Take direction from other team members and peers, and provide input constructively while maintaining a positive and professional relationship.
Monitor application usage so availability of resources is constant and adjusts to meet demands.

Minimum Requirements

Bachelor's degree of Science in Computer Science or related field and 4+ years of applicable experience, or advanced degree in scientific computing and 2+ years of applicable experience
Demonstrated user support in high performance and scientific computing
Proficiency with the UNIX/Linux command line and SSH
Intermediate programming ability with multiple computer software languages and information systems
Proficiency with C and C++ programming languages
Experience compiling applications on Linux systems (e.g. Makefiles, configure, and make)
Proficiency with Python and Bash scripting and Python package managers such as pip and Conda
Proficiency with parallel programming paradigms including MPI, OpenMP, and OpenACC
Proficiency with HPC workload managers such Slurm, PBS/Torque, and Flux
Familiarity with Git or other version control systems
Work as part of a team and directly with end users
U.S. citizenship is required due to access to export controlled information

Preferred Requirements

Expertise developing and supporting parallel applications built on MPI and OpenMP
Familiarity with the Fortran programming language
Knowledge of and familiarity with GPU programming such as CUDA and ROCm/HIP
Familiarity with package managers such as rpm, dnf/yum, and Spack
Experience building and using Apptainer or Podman containers
Experience administering HPC workload management and scheduling systems such as Slurm and OpenPBS
Experience with Flex Net or other network license management software
Experience with machine learning frameworks such as Tensor Flow, PyTorch, Keras, and Scikit-Learn
Familiarity with the CMake…